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%%% -*-BibTeX-*-
%%% ====================================================================
%%%  BibTeX-file{
%%%     author          = "Nelson H. F. Beebe",
%%%     version         = "1.06",
%%%     date            = "30 April 2024",
%%%     time            = "11:10:50 MST",
%%%     filename        = "toch.bib",
%%%     address         = "University of Utah
%%%                        Department of Mathematics, 110 LCB
%%%                        155 S 1400 E RM 233
%%%                        Salt Lake City, UT 84112-0090
%%%                        USA",
%%%     telephone       = "+1 801 581 5254",
%%%     FAX             = "+1 801 581 4148",
%%%     URL             = "http://www.math.utah.edu/~beebe",
%%%     checksum        = "13561 4663 20483 200413",
%%%     email           = "beebe at math.utah.edu, beebe at acm.org,
%%%                        beebe at computer.org (Internet)",
%%%     codetable       = "ISO/ASCII",
%%%     keywords        = "ACM Transactions on Computing for Healthcare
%%%                        (HEALTH); bibliography; BibTeX",
%%%     license         = "public domain",
%%%     supported       = "yes",
%%%     docstring       = "This is a COMPLETE BibTeX bibliography for
%%%                        ACM Transactions on Computing for Healthcare
%%%                        (HEALTH) (CODEN ????, ISSN 2691-1914 (print),
%%%                        2577-6207 (electronic)).  The journal appears
%%%                        quarterly, and publication began with volume
%%%                        1, number 1, in February 2020.
%%%
%%%                        At version 1.06, the COMPLETE journal
%%%                        coverage looked like this:
%%%
%%%                             2020 (  26)    2022 (  49)    2024 (  12)
%%%                             2021 (  36)    2023 (  24)
%%%
%%%                             Article:        147
%%%
%%%                             Total entries:  147
%%%
%%%                        The journal Web page can be found at:
%%%
%%%                            https://dl.acm.org/journal/health
%%%
%%%                        The journal table of contents page is at:
%%%
%%%                            https://dl.acm.org/loi/health
%%%
%%%                        Qualified subscribers can retrieve the full
%%%                        text of recent articles in PDF form.
%%%
%%%                        The initial draft was extracted from the ACM
%%%                        Web pages.
%%%
%%%                        ACM copyrights explicitly permit abstracting
%%%                        with credit, so article abstracts, keywords,
%%%                        and subject classifications have been
%%%                        included in this bibliography wherever
%%%                        available.  Article reviews have been
%%%                        omitted, until their copyright status has
%%%                        been clarified.
%%%
%%%                        URL keys in the bibliography point to
%%%                        World Wide Web locations of additional
%%%                        information about the entry.
%%%
%%%                        BibTeX citation tags are uniformly chosen
%%%                        as name:year:abbrev, where name is the
%%%                        family name of the first author or editor,
%%%                        year is a 4-digit number, and abbrev is a
%%%                        3-letter condensation of important title
%%%                        words. Citation tags were automatically
%%%                        generated by software developed for the
%%%                        BibNet Project.
%%%
%%%                        In this bibliography, entries are sorted in
%%%                        publication order, using ``bibsort -byvolume.''
%%%
%%%                        The checksum field above contains a CRC-16
%%%                        checksum as the first value, followed by the
%%%                        equivalent of the standard UNIX wc (word
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%%%                        characters.  This is produced by Robert
%%%                        Solovay's checksum utility.",
%%%  }
%%% ====================================================================
@Preamble{"\input bibnames.sty" #
    "\ifx \undefined \booktitle  \def \booktitle #1{{{\em #1}}}    \fi" #
    "\ifx \undefined \TM         \def \TM          {${}^{\sc TM}$} \fi"
}

%%% ====================================================================
%%% Acknowledgement abbreviations:
@String{ack-nhfb = "Nelson H. F. Beebe,
                    University of Utah,
                    Department of Mathematics, 110 LCB,
                    155 S 1400 E RM 233,
                    Salt Lake City, UT 84112-0090, USA,
                    Tel: +1 801 581 5254,
                    FAX: +1 801 581 4148,
                    e-mail: \path|beebe@math.utah.edu|,
                            \path|beebe@acm.org|,
                            \path|beebe@computer.org| (Internet),
                    URL: \path|http://www.math.utah.edu/~beebe/|"}

%%% ====================================================================
%%% Journal abbreviations:
@String{j-TOCH                  = "ACM Transactions on Computing for Healthcare
                                  (HEALTH)"}

%%% ====================================================================
%%% Bibliography entries:
@Article{Stankovic:2020:IIE,
  author =       "John A. Stankovic and Insup Lee",
  title =        "Inaugural Issue Editorial",
  journal =      j-TOCH,
  volume =       "1",
  number =       "1",
  pages =        "1:1--1:1",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3375711",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3375711",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Mahajan:2020:THW,
  author =       "Aman Mahajan and Gregory Pottie and William Kaiser",
  title =        "Transformation in Healthcare by Wearable Devices for
                 Diagnostics and Guidance of Treatment",
  journal =      j-TOCH,
  volume =       "1",
  number =       "1",
  pages =        "2:1--2:12",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3361561",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3361561",
  abstract =     "Wearable devices offer a promise of immense impact on
                 worldwide global health by offering the potential for
                 non-invasive, constantly vigilant, and low-cost
                 monitoring of individual condition and fundamental
                 advances in guiding healthcare. The urgency of
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Bellot:2020:FML,
  author =       "Alexis Bellot and Mihaela {Van Der Schaar}",
  title =        "Flexible Modelling of Longitudinal Medical Data: a
                 {Bayesian} Nonparametric Approach",
  journal =      j-TOCH,
  volume =       "1",
  number =       "1",
  pages =        "3:1--3:15",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3377164",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3377164",
  abstract =     "Using electronic medical records to learn personalized
                 risk trajectories poses significant challenges because
                 often very few samples are available in a patient's
                 history, and, when available, their information content
                 is highly diverse. In this article, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Nosakhare:2020:TAR,
  author =       "Ehimwenma Nosakhare and Rosalind Picard",
  title =        "Toward Assessing and Recommending Combinations of
                 Behaviors for Improving Health and Well-Being",
  journal =      j-TOCH,
  volume =       "1",
  number =       "1",
  pages =        "4:1--4:29",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3368958",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3368958",
  abstract =     "Multiple behaviors typically work together to
                 influence health, making it hard to understand how one
                 behavior might compensate for another. Rich multi-modal
                 datasets from mobile sensors and advances in machine
                 learning are today enabling new kinds of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Li:2020:FSM,
  author =       "Dingwen Li and Jay Vaidya and Michael Wang and Ben
                 Bush and Chenyang Lu and Marin Kollef and Thomas
                 Bailey",
  title =        "Feasibility Study of Monitoring Deterioration of
                 Outpatients Using Multimodal Data Collected by
                 Wearables",
  journal =      j-TOCH,
  volume =       "1",
  number =       "1",
  pages =        "5:1--5:22",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3344256",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3344256",
  abstract =     "In the article, we explore the feasibility of
                 monitoring outpatients using Fitbit Charge HR
                 wristbands and the potential of machine learning models
                 to predict clinical deterioration (readmissions and
                 death) among outpatients discharged from the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Jin:2020:CIC,
  author =       "Zhuochen Jin and Shuyuan Cui and Shunan Guo and David
                 Gotz and Jimeng Sun and Nan Cao",
  title =        "{CarePre}: an Intelligent Clinical Decision Assistance
                 System",
  journal =      j-TOCH,
  volume =       "1",
  number =       "1",
  pages =        "6:1--6:20",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3344258",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3344258",
  abstract =     "Clinical decision support systems are widely used to
                 assist with medical decision making. However, clinical
                 decision support systems typically require manually
                 curated rules and other data that are difficult to
                 maintain and keep up to date. Recent \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Amiri:2020:CAS,
  author =       "Delaram Amiri and Arman Anzanpour and Iman Azimi and
                 Marco Levorato and Pasi Liljeberg and Nikil Dutt and
                 Amir M. Rahmani",
  title =        "Context-Aware Sensing via Dynamic Programming for
                 Edge-Assisted Wearable Systems",
  journal =      j-TOCH,
  volume =       "1",
  number =       "2",
  pages =        "7:1--7:25",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351286",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351286",
  abstract =     "Healthcare applications supported by the Internet of
                 Things enable personalized monitoring of a patient in
                 everyday settings. Such applications often consist of
                 battery-powered sensors coupled to smart gateways at
                 the edge layer. Smart gateways offer \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Mishra:2020:CDP,
  author =       "Varun Mishra and Gunnar Pope and Sarah Lord and
                 Stephanie Lewia and Byron Lowens and Kelly Caine and
                 Sougata Sen and Ryan Halter and David Kotz",
  title =        "Continuous Detection of Physiological Stress with
                 Commodity Hardware",
  journal =      j-TOCH,
  volume =       "1",
  number =       "2",
  pages =        "8:1--8:30",
  month =        apr,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3361562",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Wed Jul 8 18:08:11 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3361562",
  abstract =     "Timely detection of an individual's stress level has
                 the potential to improve stress management, thereby
                 reducing the risk of adverse health consequences that
                 may arise due to mismanagement of stress. Recent
                 advances in wearable sensing have resulted in
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "8",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Sun:2020:HPT,
  author =       "Xuetong Sun and Sarah B. Murthi and Gary Schwartzbauer
                 and Amitabh Varshney",
  title =        "High-Precision {5DoF} Tracking and Visualization of
                 Catheter Placement in {EVD} of the Brain Using {AR}",
  journal =      j-TOCH,
  volume =       "1",
  number =       "2",
  pages =        "9:1--9:18",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3365678",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3365678",
  abstract =     "External ventricular drainage (EVD) is a high-risk
                 medical procedure that involves inserting a catheter
                 inside a patient's skull, through the brain and into a
                 ventricle, to drain cerebrospinal fluid and thus
                 relieve elevated intracranial pressure. Once \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Yom-Tov:2020:SCU,
  author =       "Elad Yom-Tov",
  title =        "Screening for Cancer Using a Learning {Internet}
                 Advertising System",
  journal =      j-TOCH,
  volume =       "1",
  number =       "2",
  pages =        "10:1--10:13",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3373720",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3373720",
  abstract =     "Studies have shown that search engine queries are
                 indicative of future diagnosis of several types of
                 cancer. These studies were based on self-identification
                 of illness and were limited in that diagnostic
                 information could not be shared with screened
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "10",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Meyer:2020:LDC,
  author =       "Jochen Meyer and Judy Kay and Daniel A. Epstein and
                 Parisa Eslambolchilar and Lie Ming Tang",
  title =        "A Life of Data: Characteristics and Challenges of Very
                 Long Term Self-Tracking for Health and Wellness",
  journal =      j-TOCH,
  volume =       "1",
  number =       "2",
  pages =        "11:1--11:4",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3373719",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 7 12:00:22 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3373719",
  abstract =     "As self-tracking has evolved from a niche movement to
                 a mass-market phenomenon, it has become possible for
                 people to track a broad range of activities and vital
                 parameters over years, even decades. The associated
                 opportunities, as well as the challenges,. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "11",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wang:2020:CBV,
  author =       "Xuyu Wang and Chao Yang and Shiwen Mao",
  title =        "On {CSI}-Based Vital Sign Monitoring Using Commodity
                 {WiFi}",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "12:1--12:27",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3377165",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3377165",
  abstract =     "Vital signs, such as respiration and heartbeat, are
                 useful for health monitoring because such signals
                 provide important clues of medical conditions.
                 Effective solutions are needed to provide contact-free,
                 easy deployment, low-cost, and long-term vital
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "12",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Chikka:2020:CCM,
  author =       "Veera Raghavendra Chikka and Kamalakar Karlapalem",
  title =        "Conformance Checking Methodology Across Discharge
                 Summaries and Standard Treatment Guidelines",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "13:1--13:19",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3377328",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3377328",
  abstract =     "Conformance checking of treatment plans in discharge
                 summary data would facilitate the development of
                 clinical decision support system, treatment plan
                 quality assurance, and new treatment plan discovery.
                 Conformance checking requires extraction of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "13",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Bhatia:2020:IIS,
  author =       "Munish Bhatia and Simranpreet Kaur and Sandeep K.
                 Sood",
  title =        "{IoT}-Inspired Smart Toilet System for Home-Based
                 Urine Infection Prediction",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "14:1--14:25",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3379506",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3379506",
  abstract =     "The healthcare industry is the premier domain that has
                 been significantly influenced by incorporation of
                 Internet of Things (IoT) technology resulting in smart
                 healthcare application. Inspired by the enormous
                 potential of IoT technology, this research \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "14",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Goldstein:2020:TFF,
  author =       "Orpaz Goldstein and Mohammad Kachuee and Kimmo
                 Karkkainen and Majid Sarrafzadeh",
  title =        "Target-Focused Feature Selection Using Uncertainty
                 Measurements in Healthcare Data",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "15:1--15:17",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3383685",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3383685",
  abstract =     "Healthcare big data remains under-utilized due to
                 various incompatibility issues between the domains of
                 data analytics and healthcare. The lack of
                 generalizable iterative feature acquisition methods
                 under budget and machine learning models that allow
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "15",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Herrlich:2020:PNT,
  author =       "Marc Herrlich and Anke V. Reinschluessel and Markus
                 Willems and Nils Langhorst and David Black and Tanja
                 D{\"o}ring and Christian Rieder and Ron Kikinis and
                 Rainer Malaka",
  title =        "Put That Needle There: Customized Flexible On-Body
                 Thin-Film Displays for Medical Navigation",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "16:1--16:17",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3386307",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3386307",
  abstract =     "Informed by modern imaging techniques, current medical
                 navigation systems support physicians during a variety
                 of interventions, such as needle-based operations.
                 During these, an abundance of information is often
                 displayed on monitors placed in positions \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Thambawita:2020:ESC,
  author =       "Vajira Thambawita and Debesh Jha and Hugo Lewi Hammer
                 and H{\aa}vard D. Johansen and Dag Johansen and P{\aa}l
                 Halvorsen and Michael A. Riegler",
  title =        "An Extensive Study on Cross-Dataset Bias and
                 Evaluation Metrics Interpretation for Machine Learning
                 Applied to Gastrointestinal Tract Abnormality
                 Classification",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "17:1--17:29",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3386295",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3386295",
  abstract =     "Precise and efficient automated identification of
                 gastrointestinal (GI) tract diseases can help doctors
                 treat more patients and improve the rate of disease
                 detection and identification. Currently, automatic
                 analysis of diseases in the GI tract is a hot
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "17",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Hussein:2020:ADA,
  author =       "Amir Hussein and Marc Djandji and Reem A. Mahmoud and
                 Mohamad Dhaybi and Hazem Hajj",
  title =        "Augmenting {DL} with Adversarial Training for Robust
                 Prediction of Epilepsy Seizures",
  journal =      j-TOCH,
  volume =       "1",
  number =       "3",
  pages =        "18:1--18:18",
  month =        jul,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3386580",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Aug 9 12:29:04 MDT 2020",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3386580",
  abstract =     "Epilepsy is a chronic medical condition that involves
                 abnormal brain activity causing patients to lose
                 control of awareness or motor activity. As a result,
                 detection of pre-ictal states, before the onset of a
                 seizure, can be lifesaving. The problem is \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "18",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kotz:2020:ISI,
  author =       "David Kotz and Guoliang Xing",
  title =        "Introduction to the Special Issue on the Wearable
                 Technologies for Smart Health",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "19:1--19:2",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3423967",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3423967",
  acknowledgement = ack-nhfb,
  articleno =    "19",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wang:2020:EAE,
  author =       "Zhu Wang and Zhiwen Yu and Bobo Zhao and Bin Guo and
                 Chao Chen and Zhiyong Yu",
  title =        "{EmotionSense}: an Adaptive Emotion Recognition System
                 Based on Wearable Smart Devices",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "20:1--20:17",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3384394",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3384394",
  abstract =     "With the recent surge of smart wearable devices, it is
                 possible to obtain the physiological and behavioral
                 data of human beings in a more convenient and
                 non-invasive manner. Based on such data, researchers
                 have developed a variety of systems or \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "20",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Aggarwal:2020:PDU,
  author =       "Deepti Aggarwal and Bernd Ploderer and Thuong Hoang
                 and Frank Vetere and Mark Bradford",
  title =        "Physiotherapy Over a Distance: The Use of Wearable
                 Technology for Video Consultations in Hospital
                 Settings",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "21:1--21:29",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3383305",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3383305",
  abstract =     "Wearable technologies offer potential in supporting
                 assessment of lower limb movements in video
                 consultations, which otherwise are challenging to
                 assess. Yet there remains a limited understanding of
                 how such technologies can be used to improve video
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "21",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Elor:2020:SSC,
  author =       "Aviv Elor and Michael Powell and Evanjelin Mahmoodi
                 and Nico Hawthorne and Mircea Teodorescu and Sri
                 Kurniawan",
  title =        "On Shooting Stars: Comparing {CAVE} and {HMD}
                 Immersive Virtual Reality Exergaming for Adults with
                 Mixed Ability",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "22:1--22:22",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3396249",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3396249",
  abstract =     "Inactivity and a lack of engagement with exercise is a
                 pressing health problem in the United States and
                 beyond. Immersive Virtual Reality (iVR) is a promising
                 medium to motivate users through engaging virtual
                 environments. Currently, modern iVR lacks a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "22",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Li:2020:MER,
  author =       "Chun-Tung Li and Jiannong Cao and Xue Liu and Milos
                 Stojmenovic",
  title =        "{mSIMPAD}: Efficient and Robust Mining of Successive
                 Similar Patterns of Multiple Lengths in Time Series",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "23:1--23:19",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3396250",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3396250",
  abstract =     "A successive similar pattern (SSP) is a series of
                 similar sequences that occur consecutively at
                 non-regular intervals in time series. Mining SSPs could
                 provide valuable information without a priori
                 knowledge, which is crucial in many applications
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "23",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Sharma:2020:IWR,
  author =       "Surya Sharma and Phillip Jasper and Eric Muth and Adam
                 Hoover",
  title =        "The Impact of Walking and Resting on Wrist Motion for
                 Automated Detection of Meals",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "24:1--24:19",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3407623",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3407623",
  abstract =     "This article considers detecting eating in free-living
                 humans by tracking wrist motion. We are specifically
                 interested in the effect of secondary activities that
                 people conduct while simultaneously eating, such as
                 walking, watching television, or \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "24",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Vargemidis:2020:WPA,
  author =       "Dimitri Vargemidis and Kathrin Gerling and Katta Spiel
                 and Vero {Vanden Abeele} and Luc Geurts",
  title =        "Wearable Physical Activity Tracking Systems for Older
                 Adults --- a Systematic Review",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "25:1--25:37",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3402523",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3402523",
  abstract =     "Physical activity (PA) positively impacts the quality
                 of life of older adults, with technology as a promising
                 factor in maintaining motivation. Within Computer
                 Science and Engineering, research investigates how to
                 track PA of older adults for various \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "25",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Makitalo:2020:HDM,
  author =       "Niko M{\"a}kitalo and Daniel Flores-Martin and Huber
                 Flores and Eemil Lagerspetz and Francois Christophe and
                 Petri Ihantola and Masiar Babazadeh and Pan Hui and
                 Juan Manuel Murillo and Sasu Tarkoma and Tommi
                 Mikkonen",
  title =        "Human Data Model: Improving Programmability of Health
                 and Well-Being Data for Enhanced Perception and
                 Interaction",
  journal =      j-TOCH,
  volume =       "1",
  number =       "4",
  pages =        "26:1--26:39",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3402524",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:26 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3402524",
  abstract =     "Today, an increasing number of systems produce,
                 process, and store personal and intimate data. Such
                 data has plenty of potential for entirely new types of
                 software applications, as well as for improving old
                 applications, particularly in the domain of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "26",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kotz:2021:ISI,
  author =       "David Kotz and Guoliang Xing",
  title =        "Introduction to the Special Issue on the Wearable
                 Technologies for Smart Health, {Part 2}",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "1:1--1:2",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3442350",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3442350",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Khan:2021:GES,
  author =       "Aftab Khan and Sebastian Mellor and Rachel King and
                 Balazs Janko and William Harwin and R. Simon Sherratt
                 and Ian Craddock and Thomas Pl{\"o}tz",
  title =        "Generalized and Efficient Skill Assessment from {IMU}
                 Data with Applications in Gymnastics and Medical
                 Training",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "2:1--2:21",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3422168",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3422168",
  abstract =     "Human activity recognition is progressing from
                 automatically determining what a person is doing and
                 when, to additionally analyzing the quality of these
                 activities-typically referred to as skill assessment.
                 In this chapter, we propose a new framework \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Jourdan:2021:PPI,
  author =       "Theo Jourdan and Antoine Boutet and Amine Bahi and
                 Carole Frindel",
  title =        "Privacy-preserving {IoT} Framework for Activity
                 Recognition in Personal Healthcare Monitoring",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "3:1--3:22",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3416947",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3416947",
  abstract =     "The increasing popularity of wearable consumer
                 products can play a significant role in the healthcare
                 sector. The recognition of human activities from IoT is
                 an important building block in this context. While the
                 analysis of the generated datastream can \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Khan:2021:PCA,
  author =       "Aftab Khan and Alexandros Zenonos and Georgios
                 Kalogridis and Yaowei Wang and Stefanos Vatsikas and
                 Mahesh Sooriyabandara",
  title =        "Perception Clusters: Automated Mood Recognition Using
                 a Novel Cluster-Driven Modelling System",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "4:1--4:16",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3422819",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3422819",
  abstract =     "Automated mood recognition has been studied in recent
                 times with great emphasis on stress in particular.
                 Other affective states are also of great importance, as
                 studying them can help in understanding human
                 behaviours in more detail. Most of the studies
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Mauldin:2021:EDL,
  author =       "Taylor Mauldin and Anne H. Ngu and Vangelis Metsis and
                 Marc E. Canby",
  title =        "Ensemble Deep Learning on Wearables Using Small
                 Datasets",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "5:1--5:30",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3428666",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3428666",
  abstract =     "This article presents an in-depth experimental study
                 of Ensemble Deep Learning techniques on small datasets
                 for the analysis of time-series data generated by
                 wearable devices. Deep Learning networks generally
                 require large datasets for training. In some \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Chuan:2021:CEC,
  author =       "Ching-Hua Chuan and Susan Morgan",
  title =        "Creating and Evaluating Chatbots as Eligibility
                 Assistants for Clinical Trials: an Active Deep Learning
                 Approach towards User-centered Classification",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "6:1--6:19",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3403575",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3403575",
  abstract =     "Clinical trials are important tools to improve
                 knowledge about the effectiveness of new treatments for
                 all diseases, including cancers. However, studies show
                 that fewer than 5\% of cancer patients are enrolled in
                 any type of research study or clinical \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{vanBerkel:2021:DVM,
  author =       "Niels van Berkel and Omer F. Ahmad and Danail Stoyanov
                 and Laurence Lovat and Ann Blandford",
  title =        "Designing Visual Markers for Continuous Artificial
                 Intelligence Support: a Colonoscopy Case Study",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "7:1--7:24",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3422156",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3422156",
  abstract =     "Colonoscopy, the visual inspection of the large bowel
                 using an endoscope, offers protection against
                 colorectal cancer by allowing for the detection and
                 removal of pre-cancerous polyps. The literature on
                 polyp detection shows widely varying miss rates
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kumar:2021:MWS,
  author =       "Devender Kumar and Steven Jeuris and Jakob E. Bardram
                 and Nicola Dragoni",
  title =        "Mobile and Wearable Sensing Frameworks for {mHealth}
                 Studies and Applications: a Systematic Review",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "8:1--8:28",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3422158",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3422158",
  abstract =     "With the widespread use of smartphones and wearable
                 health sensors, a plethora of mobile health (mHealth)
                 applications to track well-being, run human behavioral
                 studies, and clinical trials have emerged in recent
                 years. However, the design, development, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "8",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Hurley:2021:SCO,
  author =       "Nathan C. Hurley and Erica S. Spatz and Harlan M.
                 Krumholz and Roozbeh Jafari and Bobak J. Mortazavi",
  title =        "A Survey of Challenges and Opportunities in Sensing
                 and Analytics for Risk Factors of Cardiovascular
                 Disorders",
  journal =      j-TOCH,
  volume =       "2",
  number =       "1",
  pages =        "9:1--9:42",
  month =        jan,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3417958",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Sun Mar 28 08:09:27 MDT 2021",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3417958",
  abstract =     "Cardiovascular disorders cause nearly one in three
                 deaths in the United States. Short- and long-term care
                 for these disorders is often determined in short-term
                 settings. However, these decisions are made with
                 minimal longitudinal and long-term data. To \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Tran:2021:AGG,
  author =       "Tung Tran and Ramakanth Kavuluru and Halil Kilicoglu",
  title =        "Attention-Gated Graph Convolutions for Extracting Drug
                 Interaction Information from Drug Labels",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "10:1--10:19",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3423209",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3423209",
  abstract =     "Preventable adverse events as a result of medical
                 errors present a growing concern in the healthcare
                 system. As drug-drug interactions (DDIs) may lead to
                 preventable adverse events, being able to extract DDIs
                 from drug labels into a machine-processable \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "10",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Chen:2021:ECE,
  author =       "Dawei Chen and Jiangtao Wang and Wenjie Ruan and Qiang
                 Ni and Sumi Helal",
  title =        "Enabling Cost-Effective Population Health Monitoring
                 By Exploiting Spatiotemporal Correlation: an Empirical
                 Study",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "11:1--11:19",
  month =        apr,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3428665",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3428665",
  abstract =     "Because of its important role in health
                 policy-shaping, population health monitoring (PHM) is
                 considered a fundamental block for public health
                 services. However, traditional public health data
                 collection approaches, such as clinic-visit-based data
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "11",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Akbari:2021:DDC,
  author =       "Ali Akbari and Reese Grimsley and Roozbeh Jafari",
  title =        "Data-driven Context Detection Leveraging Passively
                 Sensed Nearables for Recognizing Complex Activities of
                 Daily Living",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "12:1--12:22",
  month =        apr,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3428664",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3428664",
  abstract =     "Wearable systems have unlocked new sensing paradigms
                 in various applications such as human activity
                 recognition, which can enhance effectiveness of mobile
                 health applications. Current systems using wearables
                 are not capable of understanding their \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "12",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Aziz:2021:OAD,
  author =       "Md Momin {Al Aziz} and Shahin Kamali and Noman
                 Mohammed and Xiaoqian Jiang",
  title =        "Online Algorithm for Differentially Private
                 Genome-wide Association Studies",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "13:1--13:27",
  month =        apr,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3431504",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3431504",
  abstract =     "Digitization of healthcare records contributed to a
                 large volume of functional scientific data that can
                 help researchers to understand the behaviour of many
                 diseases. However, the privacy implications of this
                 data, particularly genomics data, have \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "13",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kristiansen:2021:MLS,
  author =       "Stein Kristiansen and Konstantinos Nikolaidis and
                 Thomas Plagemann and Vera Goebel and Gunn Marit Traaen
                 and Britt {\O}verland and Lars Aaker{\o}y and
                 Tove-Elizabeth Hunt and Jan P{\aa}l Loennechen and
                 Sigurd Loe Steinshamn and Christina Holt Bendz and
                 Ole-Gunnar Anfinsen and Lars Gullestad and Harriet
                 Akre",
  title =        "Machine Learning for Sleep Apnea Detection with
                 Unattended Sleep Monitoring at Home",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "14:1--14:25",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3433987",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3433987",
  abstract =     "Sleep apnea is a common and strongly under-diagnosed
                 severe sleep-related respiratory disorder with periods
                 of disrupted or reduced breathing during sleep. To
                 diagnose sleep apnea, sleep data are collected with
                 either polysomnography or polygraphy and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "14",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wang:2021:SSB,
  author =       "Xuyu Wang and Runze Huang and Chao Yang and Shiwen
                 Mao",
  title =        "Smartphone Sonar-Based Contact-Free Respiration Rate
                 Monitoring",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "15:1--15:26",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3436822",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3436822",
  abstract =     "Vital sign (e.g., respiration rate) monitoring has
                 become increasingly more important because it offers
                 useful clues about medical conditions such as sleep
                 disorders. There is a compelling need for technologies
                 that enable contact-free and easy \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "15",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Verreydt:2021:SPR,
  author =       "Stef Verreydt and Koen Yskout and Wouter Joosen",
  title =        "Security and Privacy Requirements for Electronic
                 Consent: a Systematic Literature Review",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "16:1--16:24",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3433995",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3433995",
  abstract =     "Electronic consent (e-consent) has the potential to
                 solve many paper-based consent approaches. Existing
                 approaches, however, face challenges regarding privacy
                 and security. This literature review aims to provide an
                 overview of privacy and security \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Rissola:2021:SCM,
  author =       "Esteban A. R{\'\i}ssola and David E. Losada and Fabio
                 Crestani",
  title =        "A Survey of Computational Methods for Online Mental
                 State Assessment on Social Media",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "17:1--17:31",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3437259",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3437259",
  abstract =     "Mental state assessment by analysing user-generated
                 content is a field that has recently attracted
                 considerable attention. Today, many people are
                 increasingly utilising online social media platforms to
                 share their feelings and moods. This provides a
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "17",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Reichert:2021:SAC,
  author =       "Leonie Reichert and Samuel Brack and Bj{\"O}RN
                 Scheuermann",
  title =        "A Survey of Automatic Contact Tracing Approaches Using
                 {Bluetooth} Low Energy",
  journal =      j-TOCH,
  volume =       "2",
  number =       "2",
  pages =        "18:1--18:33",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3444847",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:22 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3444847",
  abstract =     "To combat the ongoing Covid-19 pandemic, many new ways
                 have been proposed on how to automate the process of
                 finding infected people, also called contact tracing. A
                 special focus was put on preserving the privacy of
                 users. Bluetooth Low Energy as base \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "18",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Yarlagadda:2021:SAC,
  author =       "Sri Kalyan Yarlagadda and Daniel Mas Montserrat and
                 David G{\"u}era and Carol J. Boushey and Deborah A.
                 Kerr and Fengqing Zhu",
  title =        "Saliency-Aware Class-Agnostic Food Image
                 Segmentation",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "19:1--19:17",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3440274",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3440274",
  abstract =     "Advances in image-based dietary assessment methods
                 have allowed nutrition professionals and researchers to
                 improve the accuracy of dietary assessment, where
                 images of food consumed are captured using smartphones
                 or wearable devices. These images are \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "19",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wan:2021:SBE,
  author =       "Cheng Wan and Andrew W. Mchill and Elizabeth B.
                 Klerman and Akane Sano",
  title =        "Sensor-Based Estimation of Dim Light Melatonin Onset
                 Using Features of Two Time Scales",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "20:1--20:15",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3447516",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3447516",
  abstract =     "Circadian rhythms influence multiple essential
                 biological activities, including sleep, performance,
                 and mood. The dim light melatonin onset (DLMO) is the
                 gold standard for measuring human circadian phase
                 (i.e., timing). The collection of DLMO is \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "20",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Harris:2021:FGS,
  author =       "Jonathan J. Harris and Ching-Hua Chen and Mohammed J.
                 Zaki",
  title =        "A Framework for Generating Summaries from Temporal
                 Personal Health Data",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "21:1--21:43",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448672",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448672",
  abstract =     "Although it has become easier for individuals to track
                 their personal health data (e.g., heart rate, step
                 count, and nutrient intake data), there is still a wide
                 chasm between the collection of data and the generation
                 of meaningful summaries to help \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "21",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wu:2021:EDH,
  author =       "Wenlong Wu and James M. Keller and Marjorie Skubic and
                 Mihail Popescu and Kari R. Lane",
  title =        "Early Detection of Health Changes in the Elderly Using
                 In-Home Multi-Sensor Data Streams",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "22:1--22:23",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448671",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448671",
  abstract =     "The rapid aging of the population worldwide requires
                 increased attention from healthcare providers and the
                 entire society. For the elderly to live independently,
                 many health issues related to old age, such as frailty
                 and risk of falling, need increased \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "22",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wang:2021:CPP,
  author =       "Chongyang Wang and Temitayo A. Olugbade and Akhil
                 Mathur and Amanda C. DE C. Williams and Nicholas D.
                 Lane and Nadia Bianchi-Berthouze",
  title =        "Chronic Pain Protective Behavior Detection with Deep
                 Learning",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "23:1--23:24",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3449068",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3449068",
  abstract =     "In chronic pain rehabilitation, physiotherapists adapt
                 physical activity to patients' performance based on
                 their expression of protective behavior, gradually
                 exposing them to feared but harmless and essential
                 everyday activities. As rehabilitation moves \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "23",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Chen:2021:FED,
  author =       "Kun-chih (Jimmy) Chen and Po-Chen Chien and Zi-Jie Gao
                 and Chi-Hsun Wu",
  title =        "A Fast {ECG} Diagnosis by Using Non-Uniform Spectral
                 Analysis and the Artificial Neural Network",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "24:1--24:21",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3453174",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3453174",
  abstract =     "The electrocardiogram (ECG) has been proven as an
                 efficient diagnostic tool to monitor the electrical
                 activity of the heart and has become a widely used
                 clinical approach to diagnose heart diseases. In a
                 practical way, the ECG signal can be decomposed
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "24",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Sweeney:2021:CCH,
  author =       "Colm Sweeney and Courtney Potts and Edel Ennis and
                 Raymond Bond and Maurice D. Mulvenna and Siobhan
                 O'neill and Martin Malcolm and Lauri Kuosmanen and
                 Catrine Kostenius and Alex Vakaloudis and Gavin
                 Mcconvey and Robin Turkington and David Hanna and Heidi
                 Nieminen and Anna-Kaisa Vartiainen and Alison Robertson
                 and Michael F. Mctear",
  title =        "Can Chatbots Help Support a {Person}'s Mental Health?
                 Perceptions and Views from Mental Healthcare
                 Professionals and Experts",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "25:1--25:15",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3453175",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3453175",
  abstract =     "The objective of this study was to understand the
                 attitudes of professionals who work in mental health
                 regarding the use of conversational user interfaces, or
                 chatbots, to support people's mental health and
                 wellbeing. This study involves an online \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "25",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kyono:2021:TMI,
  author =       "Trent Kyono and Fiona J. Gilbert and Mihaela {Van Der
                 Schaar}",
  title =        "Triage of {$2$D} Mammographic Images Using Multi-view
                 Multi-task Convolutional Neural Networks",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "26:1--26:24",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3453166",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3453166",
  abstract =     "With an aging and growing population, the number of
                 women receiving mammograms is increasing. However,
                 existing techniques for autonomous diagnosis do not
                 surpass a well-trained radiologist. Therefore, to
                 reduce the number of mammograms that require \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "26",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Newaz:2021:SSP,
  author =       "Akm Iqtidar Newaz and Amit Kumar Sikder and Mohammad
                 Ashiqur Rahman and A. Selcuk Uluagac",
  title =        "A Survey on Security and Privacy Issues in Modern
                 Healthcare Systems: Attacks and Defenses",
  journal =      j-TOCH,
  volume =       "2",
  number =       "3",
  pages =        "27:1--27:44",
  month =        jul,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3453176",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:23 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3453176",
  abstract =     "Recent advancements in computing systems and wireless
                 communications have made healthcare systems more
                 efficient than before. Modern healthcare devices can
                 monitor and manage different health conditions of
                 patients automatically without any manual \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "27",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Malavazos:2021:NRH,
  author =       "Konstantinos Malavazos and Maria Papadogiorgaki and
                 Pavlos Malakonakis and Ioannis Papaefstathiou",
  title =        "Novel Reconfigurable Hardware Systems for Tumor Growth
                 Prediction",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "28:1--28:27",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3454126",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3454126",
  abstract =     "An emerging trend in biomedical systems research is
                 the development of models that take full advantage of
                 the increasing available computational power to manage
                 and analyze new biological data as well as to model
                 complex biological processes. Such \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "28",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kucukozer-Cavdar:2021:DRM,
  author =       "Seyma Kucukozer-Cavdar and Tugba Taskaya-Temizel and
                 Abhinav Mehrotra and Mirco Musolesi and Peter Tino",
  title =        "Designing Robust Models for Behaviour Prediction Using
                 Sparse Data from Mobile Sensing: a Case Study of Office
                 Workers' Availability for Well-being Interventions",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "29:1--29:33",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3458753",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3458753",
  abstract =     "Understanding in which circumstances office workers
                 take rest breaks is important for delivering effective
                 mobile notifications and make inferences about their
                 daily lifestyle, e.g., whether they are active and/or
                 have a sedentary life. Previous studies \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "29",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Ali:2021:AHP,
  author =       "Mohammad Rafayet Ali and Taylan Sen and Qianyi Li and
                 Raina Langevin and Taylor Myers and E. Ray Dorsey and
                 Saloni Sharma and Ehsan Hoque",
  title =        "Analyzing Head Pose in Remotely Collected Videos of
                 People with {Parkinson}'s Disease",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "30:1--30:13",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3459669",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3459669",
  abstract =     "We developed an intelligent web interface that guides
                 users to perform several Parkinson's disease (PD)
                 motion assessment tests in front of their webcam. After
                 gathering data from 329 participants (N = 199 with PD,
                 N = 130 without PD), we developed a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "30",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Rohani:2021:BUA,
  author =       "Darius A. Rohani and Maria Faurholt-Jepsen and Lars V.
                 Kessing and Jakob E. Bardram",
  title =        "Benefits of Using Activity Recommender Technology for
                 Self-management of Depressive Symptoms",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "31:1--31:21",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3462212",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3462212",
  abstract =     "Behavioral Activation (BA)therapy has shown to be
                 effective in treating depression. Recommending healthy
                 activities is a core principle in Behavioral Activation
                 (BA), which is typically done by the therapist.
                 However, most BA smartphone applications do \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "31",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Bellio:2021:OBA,
  author =       "Maura Bellio and Dominic Furniss and Neil P. Oxtoby
                 and Sara Garbarino and Nicholas C. Firth and Annemie
                 Ribbens and Daniel C. Alexander and Ann Blandford",
  title =        "Opportunities and Barriers for Adoption of a
                 Decision-Support Tool for {Alzheimer}'s Disease",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "32:1--32:19",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3462764",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3462764",
  abstract =     "Clinical decision-support tools (DSTs) represent a
                 valuable resource in healthcare. However, lack of Human
                 Factors considerations and early design research has
                 often limited their successful adoption. To complement
                 previous technically focused work, we \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "32",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Banerjee:2021:BNE,
  author =       "Pratyay Banerjee and Kuntal Kumar Pal and Murthy
                 Devarakonda and Chitta Baral",
  title =        "Biomedical Named Entity Recognition via Knowledge
                 Guidance and Question Answering",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "33:1--33:24",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3465221",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3465221",
  abstract =     "In this work, we formulated the named entity
                 recognition (NER) task as a multi-answer knowledge
                 guided question-answer task (KGQA) and showed that the
                 knowledge guidance helps to achieve state-of-the-art
                 results for 11 of 18 biomedical NER datasets. We
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "33",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Santini:2021:OCV,
  author =       "Simone Santini",
  title =        "Optimal {COVID-19} Vaccination Strategies with Limited
                 Vaccine and Delivery Capabilities: a Model Based on
                 Social Networks",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "34:1--34:16",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3466622",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3466622",
  abstract =     "We develop a model of infection spread that takes into
                 account the existence of a vulnerable group as well as
                 the variability of the social relations of individuals.
                 We develop a compartmentalized power-law model, with
                 power-law connections between the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "34",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Sun:2021:ABD,
  author =       "Zhaohong Sun and Wei Dong and Jinlong Shi and Kunlun
                 He and Zhengxing Huang",
  title =        "Attention-Based Deep Recurrent Model for Survival
                 Prediction",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "35:1--35:18",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3466782",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3466782",
  abstract =     "Survival analysis exhibits profound effects on health
                 service management. Traditional approaches for survival
                 analysis have a pre-assumption on the time-to-event
                 probability distribution and seldom consider sequential
                 visits of patients on medical \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "35",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{BessaDaCosta:2021:PEP,
  author =       "Anderson {Bessa Da Costa} and Larissa Moreira and
                 Daniel {Ciampi De Andrade} and Adriano Veloso and Nivio
                 Ziviani",
  title =        "Predicting the Evolution of Pain Relief: Ensemble
                 Learning by Diversifying Model Explanations",
  journal =      j-TOCH,
  volume =       "2",
  number =       "4",
  pages =        "36:1--36:28",
  month =        oct,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3466781",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:24 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3466781",
  abstract =     "Modeling from data usually has two distinct facets:
                 building sound explanatory models or creating powerful
                 predictive models for a system or phenomenon. Most of
                 recent literature does not exploit the relationship
                 between explanation and prediction while \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "36",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Devarakonda:2022:ISI,
  author =       "Murthy V. Devarakonda and Ellen M. Voorhees",
  title =        "Introduction to the Special Issue on Computational
                 Methods for Biomedical {NLP}",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "1:1--1:2",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3492302",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3492302",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Gu:2022:DSL,
  author =       "Yu Gu and Robert Tinn and Hao Cheng and Michael Lucas
                 and Naoto Usuyama and Xiaodong Liu and Tristan Naumann
                 and Jianfeng Gao and Hoifung Poon",
  title =        "Domain-Specific Language Model Pretraining for
                 Biomedical Natural Language Processing",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "2:1--2:23",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3458754",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3458754",
  abstract =     "Pretraining large neural language models, such as
                 BERT, has led to impressive gains on many natural
                 language processing (NLP) tasks. However, most
                 pretraining efforts focus on general domain corpora,
                 such as newswire and Web. A prevailing assumption is
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Crovari:2022:GCA,
  author =       "Pietro Crovari and Sara Pid{\`o} and Pietro Pinoli and
                 Anna Bernasconi and Arif Canakoglu and Franca Garzotto
                 and Stefano Ceri",
  title =        "{GeCoAgent}: a Conversational Agent for Empowering
                 Genomic Data Extraction and Analysis",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "3:1--3:29",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3464383",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3464383",
  abstract =     "With the availability of reliable and low-cost DNA
                 sequencing, human genomics is relevant to a growing
                 number of end-users, including biologists and
                 clinicians. Typical interactions require applying
                 comparative data analysis to huge repositories of
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Grani:2022:SPH,
  author =       "Giorgio Grani and Andrea Lenzi and Paola Velardi",
  title =        "Supporting Personalized Health Care With Social Media
                 Analytics: an Application to Hypothyroidism",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "4:1--4:28",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3468781",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3468781",
  abstract =     "Social media analytics can considerably contribute to
                 understanding health conditions beyond clinical
                 practice, by capturing patients' discussions and
                 feelings about their quality of life in relation to
                 disease treatments. In this article, we propose a
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{AlAziz:2022:DPM,
  author =       "Md Momin {Al Aziz} and Tanbir Ahmed and Tasnia Faequa
                 and Xiaoqian Jiang and Yiyu Yao and Noman Mohammed",
  title =        "Differentially Private Medical Texts Generation Using
                 Generative Neural Networks",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "5:1--5:27",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3469035",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3469035",
  abstract =     "Technological advancements in data science have
                 offered us affordable storage and efficient algorithms
                 to query a large volume of data. Our health records are
                 a significant part of this data, which is pivotal for
                 healthcare providers and can be utilized \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Lee:2022:CEI,
  author =       "Kahyun Lee and Mehmet Kayaalp and Sam Henry and
                 {\"O}zlem Uzuner",
  title =        "A Context-Enhanced De-identification System",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "6:1--6:14",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3470980",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3470980",
  abstract =     "Many modern entity recognition systems, including the
                 current state-of-the-art de-identification systems, are
                 based on bidirectional long short-term memory (biLSTM)
                 units augmented by a conditional random field (CRF)
                 sequence optimizer. These systems \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Tariq:2022:BGB,
  author =       "Amara Tariq and Marly {Van Assen} and Carlo N. {De
                 Cecco} and Imon Banerjee",
  title =        "Bridging the Gap between Structured and Free-form
                 Radiology Reporting: a Case-study on Coronary {CT}
                 Angiography",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "7:1--7:20",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3474831",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3474831",
  abstract =     "Free-form radiology reports associated with coronary
                 computed tomography angiography (CCTA) include nuanced
                 and complicated linguistics to report cardiovascular
                 disease. Standardization and interpretation of such
                 reports is crucial for clinical use of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Bertini:2022:ASC,
  author =       "Flavio Bertini and Davide Allevi and Gianluca Lutero
                 and Danilo Montesi and Laura Calz{\`a}",
  title =        "Automatic Speech Classifier for Mild Cognitive
                 Impairment and Early Dementia",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "8:1--8:11",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3469089",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3469089",
  abstract =     "The World Health Organization estimates that 50
                 million people are currently living with dementia
                 worldwide and this figure will almost triple by 2050.
                 Current pharmacological treatments are only
                 symptomatic, and drugs or other therapies are
                 ineffective \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "8",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Shojaee:2022:AWT,
  author =       "Parshin Shojaee and Xiaoyu Chen and Ran Jin",
  title =        "Adaptively Weighted Top-{$N$} Recommendation for Organ
                 Matching",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "9:1--9:29",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3469657",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3469657",
  abstract =     "Reducing the shortage of organ donations to meet the
                 demands of patients on the waiting list has being a
                 major challenge in organ transplantation. Because of
                 the shortage, organ matching decision is the most
                 critical decision to assign the limited viable
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Gaddipati:2022:GAF,
  author =       "Divya Jyothi Gaddipati and Jayanthi Sivaswamy",
  title =        "Glaucoma Assessment from Fundus Images with Fundus to
                 {OCT} Feature Space Mapping",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "10:1--10:15",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3470979",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3470979",
  abstract =     "Early detection and treatment of glaucoma is of
                 interest as it is a chronic eye disease leading to an
                 irreversible loss of vision. Existing automated systems
                 rely largely on fundus images for assessment of
                 glaucoma due to their fast acquisition and cost-.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "10",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Feiger:2022:EUN,
  author =       "Bradley Feiger and Erick Lorenzana-Saldivar and Colin
                 Cooke and Roarke Horstmeyer and Muath Bishawi and Julie
                 Doberne and G. Chad Hughes and David Ranney and Soraya
                 Voigt and Amanda Randles",
  title =        "Evaluation of {U}-Net Based Architectures for
                 Automatic Aortic Dissection Segmentation",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "11:1--11:16",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3472302",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3472302",
  abstract =     "Segmentation and reconstruction of arteries is
                 important for a variety of medical and engineering
                 fields, such as surgical planning and physiological
                 modeling. However, manual methods can be laborious and
                 subject to a high degree of human variability. In
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "11",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Ding:2022:ABU,
  author =       "Haoran Ding and Xiao Luo",
  title =        "Attention-based Unsupervised Keyphrase Extraction and
                 Phrase Graph for {COVID-19} Medical Literature
                 Retrieval",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "12:1--12:16",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3473939",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3473939",
  abstract =     "Searching, reading, and finding information from the
                 massive medical text collections are challenging. A
                 typical biomedical search engine is not feasible to
                 navigate each article to find critical information or
                 keyphrases. Moreover, few tools provide a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "12",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Shojaati:2022:DCM,
  author =       "Narjes Shojaati and Nathaniel D. Osgood",
  title =        "Dynamic Computational Models and Simulations of the
                 Opioid Crisis: a Comprehensive Survey",
  journal =      j-TOCH,
  volume =       "3",
  number =       "1",
  pages =        "13:1--13:25",
  month =        jan,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3469658",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Mar 1 16:37:25 MST 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3469658",
  abstract =     "Opioids have been shown to temporarily reduce the
                 severity of pain when prescribed for medical purposes.
                 However, opioid analgesics can also lead to severe
                 adverse physical and psychological effects or even
                 death through misuse, abuse, short- or long-term
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "13",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Slijepcevic:2022:EML,
  author =       "Djordje Slijepcevic and Fabian Horst and Sebastian
                 Lapuschkin and Brian Horsak and Anna-Maria Raberger and
                 Andreas Kranzl and Wojciech Samek and Christian
                 Breiteneder and Wolfgang Immanuel Sch{\"o}llhorn and
                 Matthias Zeppelzauer",
  title =        "Explaining Machine Learning Models for Clinical Gait
                 Analysis",
  journal =      j-TOCH,
  volume =       "3",
  number =       "2",
  pages =        "14:1--14:27",
  month =        apr,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3474121",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri May 27 14:58:27 MDT 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3474121",
  abstract =     "Machine Learning (ML) is increasingly used to support
                 decision-making in the healthcare sector. While ML
                 approaches provide promising results with regard to
                 their classification performance, most share a central
                 limitation, their black-box character. This \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "14",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Gao:2022:ERR,
  author =       "Ye Gao and Asif Salekin and Kristina Gordon and Karen
                 Rose and Hongning Wang and John Stankovic",
  title =        "Emotion Recognition Robust to Indoor Environmental
                 Distortions and Non-targeted Emotions Using
                 Out-of-distribution Detection",
  journal =      j-TOCH,
  volume =       "3",
  number =       "2",
  pages =        "15:1--15:22",
  month =        apr,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3492300",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri May 27 14:58:27 MDT 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3492300",
  abstract =     "The rapid development of machine learning on acoustic
                 signal processing has resulted in many solutions for
                 detecting emotions from speech. Early works were
                 developed for clean and acted speech and for a fixed
                 set of emotions. Importantly, the datasets and
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "15",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Rahman:2022:MMT,
  author =       "Md Juber Rahman and Bashir I. Morshed",
  title =        "A Minimalist Method Toward Severity Assessment and
                 Progression Monitoring of Obstructive Sleep Apnea on
                 the Edge",
  journal =      j-TOCH,
  volume =       "3",
  number =       "2",
  pages =        "16:1--16:16",
  month =        apr,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3479432",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri May 27 14:58:27 MDT 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3479432",
  abstract =     "Artificial Intelligence-enabled applications on edge
                 devices have the potential to revolutionize disease
                 detection and monitoring in future smart health
                 (sHealth) systems. In this study, we investigated a
                 minimalist approach for the severity \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kassaie:2022:CAC,
  author =       "Besat Kassaie and Elizabeth L. Irving and Frank Wm.
                 Tompa",
  title =        "Computer-Assisted Cohort Identification in Practice",
  journal =      j-TOCH,
  volume =       "3",
  number =       "2",
  pages =        "17:1--17:28",
  month =        apr,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3483411",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri May 27 14:58:27 MDT 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3483411",
  abstract =     "The standard approach to expert-in-the-loop machine
                 learning is active learning, where, repeatedly, an
                 expert is asked to annotate one or more records and the
                 machine finds a classifier that respects all
                 annotations made until that point. We propose an
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "17",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Zhang:2022:APG,
  author =       "Junqian Zhang and Yingming Sun and Hongen Liao and
                 Jian Zhu and Yuan Zhang",
  title =        "Automatic Parotid Gland Segmentation in {MVCT} Using
                 Deep Convolutional Neural Networks",
  journal =      j-TOCH,
  volume =       "3",
  number =       "2",
  pages =        "18:1--18:15",
  month =        apr,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3485278",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri May 27 14:58:27 MDT 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3485278",
  abstract =     "Radiation-induced xerostomia, as a major problem in
                 radiation treatment of the head and neck cancer, is
                 mainly due to the overdose irradiation injury to the
                 parotid glands. Helical Tomotherapy-based megavoltage
                 computed tomography (MVCT) imaging during \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "18",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Burrello:2022:ETC,
  author =       "Alessio Burrello and Daniele Jahier Pagliari and
                 Pierangelo Maria Rapa and Matilde Semilia and Matteo
                 Risso and Tommaso Polonelli and Massimo Poncino and
                 Luca Benini and Simone Benatti",
  title =        "Embedding Temporal Convolutional Networks for
                 Energy-efficient {PPG}-based Heart Rate Monitoring",
  journal =      j-TOCH,
  volume =       "3",
  number =       "2",
  pages =        "19:1--19:25",
  month =        apr,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3487910",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri May 27 14:58:27 MDT 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3487910",
  abstract =     "Photoplethysmography (PPG) sensors allow for
                 non-invasive and comfortable heart rate (HR)
                 monitoring, suitable for compact wrist-worn devices.
                 Unfortunately, motion artifacts (MAs) severely impact
                 the monitoring accuracy, causing high variability in
                 the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "19",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kumar:2022:MCA,
  author =       "Devender Kumar and Raju Maharjan and Alban Maxhuni and
                 Helena Dominguez and Anne Fr{\o}lich and Jakob E.
                 Bardram",
  title =        "{mCardia}: a Context-Aware {ECG} Collection System for
                 Ambulatory Arrhythmia Screening",
  journal =      j-TOCH,
  volume =       "3",
  number =       "2",
  pages =        "20:1--20:28",
  month =        apr,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494581",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri May 27 14:58:27 MDT 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494581",
  abstract =     "This article presents the design, technical
                 implementation, and feasibility evaluation of mCardia
                 -a context-aware, mobile electrocardiogram (ECG)
                 collection system for longitudinal arrhythmia screening
                 under free-living conditions. Along with ECG, mCardia.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "20",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Shen:2022:MAH,
  author =       "Cong Shen and Zhaozhi Qian and Alihan Huyuk and
                 Mihaela Van Der Schaar",
  title =        "{MARS}: Assisting Human with Information Processing
                 Tasks Using Machine Learning",
  journal =      j-TOCH,
  volume =       "3",
  number =       "2",
  pages =        "21:1--21:19",
  month =        apr,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494582",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri May 27 14:58:27 MDT 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494582",
  abstract =     "This article studies the problem of automated
                 information processing from large volumes of
                 unstructured, heterogeneous, and sometimes
                 untrustworthy data sources. The main contribution is a
                 novel framework called Machine Assisted Record
                 Selection (MARS). \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "21",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Fu:2022:SLR,
  author =       "Yu Fu and Yan Hu and Veronica Sundstedt",
  title =        "A Systematic Literature Review of Virtual, Augmented,
                 and Mixed Reality Game Applications in Healthcare",
  journal =      j-TOCH,
  volume =       "3",
  number =       "2",
  pages =        "22:1--22:27",
  month =        apr,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3472303",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri May 27 14:58:27 MDT 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3472303",
  abstract =     "Virtual reality, augmented reality, and mixed reality
                 (VR/AR/MR) as information and communication
                 technologies have been recognised and implemented in
                 healthcare in recent years. One of the popular
                 application ways is games, due to the potential
                 benefits \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "22",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Pourebadi:2022:FEM,
  author =       "Maryam Pourebadi and Laurel D. Riek",
  title =        "Facial Expression Modeling and Synthesis for Patient
                 Simulator Systems: Past, Present, and Future",
  journal =      j-TOCH,
  volume =       "3",
  number =       "2",
  pages =        "23:1--23:32",
  month =        apr,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3483598",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri May 27 14:58:27 MDT 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3483598",
  abstract =     "Clinical educators have used robotic and virtual
                 patient simulator systems (RPS) for dozens of years, to
                 help clinical learners (CL) gain key skills to help
                 avoid future patient harm. These systems can simulate
                 human physiological traits; however, they \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "23",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Hussain:2022:NIT,
  author =       "Zawar Hussain and Quan Z. Sheng and Wei Emma Zhang and
                 Jorge Ortiz and Seyedamin Pouriyeh",
  title =        "Non-invasive Techniques for Monitoring Different
                 Aspects of Sleep: a Comprehensive Review",
  journal =      j-TOCH,
  volume =       "3",
  number =       "2",
  pages =        "24:1--24:26",
  month =        apr,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3491245",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri May 27 14:58:27 MDT 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3491245",
  abstract =     "Quality sleep is very important for a healthy life.
                 Nowadays, many people around the world are not getting
                 enough sleep, which has negative impacts on their
                 lifestyles. Studies are being conducted for sleep
                 monitoring and better understanding sleep \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "24",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Marshall:2022:SHF,
  author =       "Jermaine Marshall and Priscilla Jimenez-Pazmino and
                 Ronald Metoyer and Nitesh V. Chawla",
  title =        "A Survey on Healthy Food Decision Influences Through
                 Technological Innovations",
  journal =      j-TOCH,
  volume =       "3",
  number =       "2",
  pages =        "25:1--25:27",
  month =        apr,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494580",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri May 27 14:58:27 MDT 2022",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494580",
  abstract =     "It is well known that unhealthy food consumption plays
                 a significant role in dietary and lifestyle-related
                 diseases. Therefore, it is important for researchers to
                 examine methods that may encourage the consumer to
                 consider healthier dietary and lifestyle \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "25",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/healtha",
}

@Article{Bogdan:2022:ISI,
  author =       "Paul Bogdan and Radu Grosu and Insup Lee",
  title =        "Introduction to the Special Issue on
                 {Internet-of-Medical-Things}",
  journal =      j-TOCH,
  volume =       "3",
  number =       "3",
  pages =        "26:1--26:??",
  month =        jul,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3547656",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:01 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3547656",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "26e",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Sun:2022:CDE,
  author =       "Ting-Wei Sun and Danish Ali and Ayeu (Andy) Wu",
  title =        "Compressed-Domain {ECG}-based Biometric User
                 Identification Using Task-Driven Dictionary Learning",
  journal =      j-TOCH,
  volume =       "3",
  number =       "3",
  pages =        "26:1--26:??",
  month =        jul,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3461701",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:01 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3461701",
  abstract =     "In recent years, user identification has become
                 crucial for authorized machine access.
                 Electrocardiography (ECG) is a new and rising
                 biometrics signature. Rather than traditional
                 biological traits, ECG cannot be easily imitated. In
                 the long-term \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "26",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Luo:2022:PPE,
  author =       "Jiaqing Luo and Ruiyu Bai and Suining He and Kang G.
                 Shin",
  title =        "Pervasive Pose Estimation for Fall Detection",
  journal =      j-TOCH,
  volume =       "3",
  number =       "3",
  pages =        "27:1--27:??",
  month =        jul,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478027",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:01 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478027",
  abstract =     "Falls are the second leading cause of accidental or
                 unintentional injuries/deaths worldwide. Accurate pose
                 estimation using commodity mobile devices will help
                 early detection and injury assessment of falls, which
                 are essential for the first aid of elderly \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "27",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Baez:2022:AEN,
  author =       "Pablo B{\'a}ez and Felipe Bravo-Marquez and Jocelyn
                 Dunstan and Mat{\'\i}as Rojas and Fabi{\'a}n Villena",
  title =        "Automatic Extraction of Nested Entities in Clinical
                 Referrals in {Spanish}",
  journal =      j-TOCH,
  volume =       "3",
  number =       "3",
  pages =        "28:1--28:??",
  month =        jul,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3498324",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:01 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3498324",
  abstract =     "Here we describe a new clinical corpus rich in nested
                 entities and a series of neural models to identify
                 them. The corpus comprises de-identified referrals from
                 the waiting list in Chilean public hospitals. A subset
                 of 5,000 referrals (58.6\% medical and \ldots{})",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "28",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Jain:2022:EEH,
  author =       "Seemandhar Jain and Prarthi Jain and Prabhat K.
                 Upadhyay and Jules M. Moualeu and Abhishek Srivastava",
  title =        "An Energy Efficient Health Monitoring Approach with
                 Wireless Body Area Networks",
  journal =      j-TOCH,
  volume =       "3",
  number =       "3",
  pages =        "29:1--29:??",
  month =        jul,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3501773",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:01 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3501773",
  abstract =     "Wireless Body Area Networks (WBANs) comprise a network
                 of sensors subcutaneously implanted or placed near the
                 body surface and facilitate continuous monitoring of
                 health parameters of a patient. Research endeavours
                 involving WBAN are directed towards \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "29",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Katsimpras:2022:IEP,
  author =       "Georgios Katsimpras and Fotis Aisopos and Peter
                 Garrard and Maria-Esther Vidal and Georgios Paliouras",
  title =        "Improving Early Prognosis of Dementia Using Machine
                 Learning Methods",
  journal =      j-TOCH,
  volume =       "3",
  number =       "3",
  pages =        "30:1--30:??",
  month =        jul,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3502433",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:01 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3502433",
  abstract =     "Early and precise prognosis of dementia is a critical
                 medical challenge. The design of an optimal
                 computational model that addresses this issue, and at
                 the same time explains the underlying mechanisms that
                 lead to output decisions, is an ongoing \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "30",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Ghosal:2022:IHA,
  author =       "Sagnik Ghosal and Debanjan Das and Venkanna
                 Udutalapally and Preetam Narayan Wasnik",
  title =        "{iNAP}: a Hybrid Approach for {NonInvasive}
                 Anemia-Polycythemia Detection in the {IoMT}",
  journal =      j-TOCH,
  volume =       "3",
  number =       "3",
  pages =        "31:1--31:??",
  month =        jul,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3503466",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:01 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3503466",
  abstract =     "The paper presents a novel, self-sufficient, Internet
                 of Medical Things-based model called iNAP to address
                 the shortcomings of anemia and polycythemia detection.
                 The proposed model captures eye and fingernail images
                 using a smartphone camera and \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "31",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Gupta:2022:OPE,
  author =       "Mehak Gupta and Thao-Ly T. Phan and H. Timothy Bunnell
                 and Rahmatollah Beheshti",
  title =        "Obesity Prediction with {EHR} Data: a Deep Learning
                 Approach with Interpretable Elements",
  journal =      j-TOCH,
  volume =       "3",
  number =       "3",
  pages =        "32:1--32:??",
  month =        jul,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3506719",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:01 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3506719",
  abstract =     "Childhood obesity is a major public health challenge.
                 Early prediction and identification of the children at
                 an elevated risk of developing childhood obesity may
                 help in engaging earlier and more effective
                 interventions to prevent and manage obesity. Most
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "32",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Cook:2022:DSB,
  author =       "Diane J. Cook and Miranda Strickland and Maureen
                 Schmitter-Edgecombe",
  title =        "Detecting Smartwatch-Based Behavior Change in Response
                 to a Multi-Domain Brain Health Intervention",
  journal =      j-TOCH,
  volume =       "3",
  number =       "3",
  pages =        "33:1--33:??",
  month =        jul,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3508020",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:01 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3508020",
  abstract =     "In this study, we introduce and validate a
                 computational method to detect lifestyle change that
                 occurs in response to a multi-domain healthy brain
                 aging intervention. To detect behavior change, digital
                 behavior markers are extracted from smartwatch sensor
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "33",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Fagert:2022:CVH,
  author =       "Jonathon Fagert and Amelie Bonde and Sruti Srinidhi
                 and Sarah Hamilton and Pei Zhang and Hae Young Noh",
  title =        "Clean Vibes: Hand Washing Monitoring Using Structural
                 Vibration Sensing",
  journal =      j-TOCH,
  volume =       "3",
  number =       "3",
  pages =        "34:1--34:??",
  month =        jul,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3511890",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:01 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3511890",
  abstract =     "We present a passive and non-intrusive sensing system
                 for monitoring hand washing activity using structural
                 vibration sensing. Proper hand washing is one of the
                 most effective ways to limit the spread and
                 transmission of disease, and has been especially
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "34",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Rostaminia:2022:PRS,
  author =       "Soha Rostaminia and Seyedeh Zohreh Homayounfar and Ali
                 Kiaghadi and Trisha Andrew and Deepak Ganesan",
  title =        "{PhyMask}: Robust Sensing of Brain Activity and
                 Physiological Signals During Sleep with an All-textile
                 Eye Mask",
  journal =      j-TOCH,
  volume =       "3",
  number =       "3",
  pages =        "35:1--35:??",
  month =        jul,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3513023",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:01 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3513023",
  abstract =     "Clinical-grade wearable sleep monitoring is a
                 challenging problem since it requires concurrently
                 monitoring brain activity, eye movement, muscle
                 activity, cardio-respiratory features, and gross body
                 movements. This requires multiple sensors to be worn at
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "35",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Amon:2022:FVR,
  author =       "Mary Jean Amon and Stephen Mattingly and Aaron Necaise
                 and Gloria Mark and Nitesh Chawla and Anind Dey and
                 Sidney D'mello",
  title =        "Flexibility Versus Routineness in Multimodal Health
                 Indicators: a Sensor-based Longitudinal in Situ Study
                 of Information Workers",
  journal =      j-TOCH,
  volume =       "3",
  number =       "3",
  pages =        "36:1--36:??",
  month =        jul,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3514259",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:01 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3514259",
  abstract =     "Although some research highlights the benefits of
                 behavioral routines for individual functioning, other
                 research indicates that routines can reflect an
                 individual's inflexibility and lower well-being. Given
                 conflicting accounts on the benefits of routine,
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "36",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kumar:2022:LMS,
  author =       "Shashwat Kumar and Debajyoti Datta and Guimin Dong and
                 Lihua Cai and Mehdi Boukhechba and Laura Barnes",
  title =        "Leveraging Mobile Sensing and {Bayesian} Change Point
                 Analysis to Monitor Community-scale Behavioral
                 Interventions: a Case Study on {COVID-19}",
  journal =      j-TOCH,
  volume =       "3",
  number =       "4",
  pages =        "37:1--37:??",
  month =        oct,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3524886",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:03 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3524886",
  abstract =     "During pandemics, effective interventions require
                 monitoring the problem at different scales and
                 understanding the various tradeoffs between efficacy,
                 privacy, and economic burden. To address these
                 challenges, we propose a framework where we perform
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "37",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Morshed:2022:FMC,
  author =       "Mehrab {Bin Morshed} and Samruddhi Shreeram Kulkarni
                 and Koustuv Saha and Richard Li and Leah G. Roper and
                 Lama Nachman and Hong Lu and Lucia Mirabella and
                 Sanjeev Srivastava and Kaya de Barbaro and Munmun de
                 Choudhury and Thomas Pl{\"o}tz and Gregory Abowd",
  title =        "Food, Mood, Context: Examining College Students'
                 Eating Context and Mental Well-being",
  journal =      j-TOCH,
  volume =       "3",
  number =       "4",
  pages =        "38:1--38:??",
  month =        oct,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3533390",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:03 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3533390",
  abstract =     "Deviant eating behavior such as skipping meals and
                 consuming unhealthy meals has a significant association
                 with mental well-being in college students. However,
                 there is more to what an individual eats. While eating
                 patterns form a critical component of \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "38",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Minot:2022:IBM,
  author =       "Joshua R. Minot and Nicholas Cheney and Marc Maier and
                 Danne C. Elbers and Christopher M. Danforth and Peter
                 Sheridan Dodds",
  title =        "Interpretable Bias Mitigation for Textual Data:
                 Reducing Genderization in Patient Notes While
                 Maintaining Classification Performance",
  journal =      j-TOCH,
  volume =       "3",
  number =       "4",
  pages =        "39:1--39:??",
  month =        oct,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3524887",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:03 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3524887",
  abstract =     "Medical systems in general, and patient treatment
                 decisions and outcomes in particular, can be affected
                 by bias based on gender and other demographic elements.
                 As language models are increasingly applied to
                 medicine, there is a growing interest in \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "39",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Joshi:2022:FLH,
  author =       "Madhura Joshi and Ankit Pal and Malaikannan
                 Sankarasubbu",
  title =        "Federated Learning for Healthcare Domain --- Pipeline,
                 Applications and Challenges",
  journal =      j-TOCH,
  volume =       "3",
  number =       "4",
  pages =        "40:1--40:??",
  month =        oct,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3533708",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:03 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3533708",
  abstract =     "Federated learning is the process of developing
                 machine learning models over datasets distributed
                 across data centers such as hospitals, clinical
                 research labs, and mobile devices while preventing data
                 leakage. This survey examines previous research and
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "40",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Sprint:2022:MFS,
  author =       "Gina Sprint and Diane J. Cook and Maureen
                 Schmitter-Edgecombe and Lawrence B. Holder",
  title =        "Multimodal Fusion of Smart Home and Text-based
                 Behavior Markers for Clinical Assessment Prediction",
  journal =      j-TOCH,
  volume =       "3",
  number =       "4",
  pages =        "41:1--41:??",
  month =        oct,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3531231",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:03 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3531231",
  abstract =     "New modes of technology are offering unprecedented
                 opportunities to unobtrusively collect data about
                 people's behavior. While there are many use cases for
                 such information, we explore its utility for predicting
                 multiple clinical assessment scores. Because \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "41",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Thimbleby:2022:NNO,
  author =       "Harold Thimbleby",
  title =        "{NHS} Number Open Source Software: Implications for
                 Digital Health Regulation and Development",
  journal =      j-TOCH,
  volume =       "3",
  number =       "4",
  pages =        "42:1--42:??",
  month =        oct,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3538382",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:03 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/gnu.bib;
                 http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3538382",
  abstract =     "A national example of open source digital healthcare
                 is critiqued. The code for implementing numeric patient
                 identifiers is surprisingly na{\"\i}ve and bug-ridden,
                 despite patient identifiers being computationally
                 trivial and a critical component of reliable \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "42",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Pugh:2022:EAC,
  author =       "Sydney Pugh and Ivan Ruchkin and Christopher Bonafide
                 and Sara Demauro and Oleg Sokolsky and Insup Lee and
                 James Weimer",
  title =        "Evaluating Alarm Classifiers with High-confidence Data
                 Programming",
  journal =      j-TOCH,
  volume =       "3",
  number =       "4",
  pages =        "43:1--43:??",
  month =        oct,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3549942",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:03 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3549942",
  abstract =     "Classification of clinical alarms is at the heart of
                 prioritization, suppression, integration, postponement,
                 and other methods of mitigating alarm fatigue. Since
                 these methods directly affect clinical care, alarm
                 classifiers, such as intelligent \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "43",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Elor:2022:BIM,
  author =       "Aviv Elor and Steve Whittaker and Sri Kurniawan and
                 Sam Michael",
  title =        "{BioLumin}: an Immersive Mixed Reality Experience for
                 Interactive Microscopic Visualization and Biomedical
                 Research Annotation",
  journal =      j-TOCH,
  volume =       "3",
  number =       "4",
  pages =        "44:1--44:??",
  month =        oct,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3548777",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:03 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3548777",
  abstract =     "Many recent breakthroughs in medical diagnostics and
                 drug discovery arise from deploying machine learning
                 algorithms to large-scale data sets. However, a
                 significant obstacle to such approaches is that they
                 depend on high-quality annotations generated by
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "44",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Xie:2022:PCA,
  author =       "Zongxing Xie and Bing Zhou and Xi Cheng and Elinor
                 Schoenfeld and Fan Ye",
  title =        "Passive and Context-Aware In-Home Vital Signs
                 Monitoring Using Co-Located {UWB}-Depth Sensor Fusion",
  journal =      j-TOCH,
  volume =       "3",
  number =       "4",
  pages =        "45:1--45:??",
  month =        oct,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3549941",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:03 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3549941",
  abstract =     "Basic vital signs such as heart and respiratory rates
                 (HR and RR) are essential bio-indicators. Their
                 longitudinal in-home collection enables prediction and
                 detection of disease onset and change, providing for
                 earlier health intervention. In this article,
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "45",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Senaratne:2022:CRM,
  author =       "Hashini Senaratne and Sharon Oviatt and Kirsten Ellis
                 and Glenn Melvin",
  title =        "A Critical Review of Multimodal-multisensor Analytics
                 for Anxiety Assessment",
  journal =      j-TOCH,
  volume =       "3",
  number =       "4",
  pages =        "46:1--46:??",
  month =        oct,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3556980",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:03 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3556980",
  abstract =     "Recently, interest has grown in the assessment of
                 anxiety that leverages human physiological and
                 behavioral data to address the drawbacks of current
                 subjective clinical assessments. Complex experiences of
                 anxiety vary on multiple characteristics, \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "46",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Amaral:2022:SVL,
  author =       "Kevin Amaral and Zihan Li and Wei Ding and Scott
                 Crouter and Ping Chen",
  title =        "{SummerTime}: Variable-length Time Series
                 Summarization with Application to Physical Activity
                 Analysis",
  journal =      j-TOCH,
  volume =       "3",
  number =       "4",
  pages =        "47:1--47:??",
  month =        oct,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3532628",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:03 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3532628",
  abstract =     "SummerTime seeks to summarize global time-series
                 signals and provides a fixed-length, robust
                 representation of the variable-length time series. Many
                 machine learning methods depend on data instances with
                 a fixed number of features. As a result, those
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "47",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Nikolaidis:2022:MHS,
  author =       "Konstantinos Nikolaidis and Stein Kristiansen and
                 Thomas Plagemann and Vera Goebel and Knut Liest{\o}l
                 and Mohan Kankanhalli and Gunn-Marit Traaen and Britt
                 {\O}verland and Harriet Akre and Lars Aaker{\o}y and
                 Sigurd Steinshamn",
  title =        "{My Health Sensor, My Classifier} --- Adapting a
                 Trained Classifier to Unlabeled End-User Data",
  journal =      j-TOCH,
  volume =       "3",
  number =       "4",
  pages =        "48:1--48:??",
  month =        oct,
  year =         "2022",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3559767",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:03 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3559767",
  abstract =     "Sleep apnea is a common yet severely under-diagnosed
                 sleep related disorder. Unattended sleep monitoring at
                 home with low-cost sensors can be leveraged for
                 condition detection, and Machine Learning offers a
                 generalized solution for this task. However, \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "48",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Zargari:2023:ANA,
  author =       "Amir Hosein Afandizadeh Zargari and Seyed Amir Hossein
                 Aqajari and Hadi Khodabandeh and Amir Rahmani and Fadi
                 Kurdahi",
  title =        "An Accurate Non-accelerometer-based {PPG} Motion
                 Artifact Removal Technique using {CycleGAN}",
  journal =      j-TOCH,
  volume =       "4",
  number =       "1",
  pages =        "1:1--1:??",
  month =        jan,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3563949",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:04 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3563949",
  abstract =     "A photoplethysmography (PPG) is an uncomplicated and
                 inexpensive optical technique widely used in the
                 healthcare domain to extract valuable health-related
                 information, e.g., heart rate variability, blood
                 pressure, and respiration rate. PPG signals can
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "1",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Constantinides:2023:SUP,
  author =       "Argyris Constantinides and Marios Belk and Christos
                 Fidas and Roy Beumers and David Vidal and Wanting Huang
                 and Juliana Bowles and Thais Webber and Agastya Silvina
                 and Andreas Pitsillides",
  title =        "Security and Usability of a Personalized User
                 Authentication Paradigm: Insights from a Longitudinal
                 Study with Three Healthcare Organizations",
  journal =      j-TOCH,
  volume =       "4",
  number =       "1",
  pages =        "2:1--2:??",
  month =        jan,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3564610",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:04 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3564610",
  abstract =     "This article proposes a user-adaptable and
                 personalized authentication paradigm for healthcare
                 organizations, which anticipates to seamlessly reflect
                 patients' episodic and autobiographical memories to
                 graphical and textual passwords aiming to improve the
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "2",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Le:2023:MAM,
  author =       "Hieu Hanh Le and Tatsuhiro Yamada and Yuichi Honda and
                 Takatoshi Sakamoto and Ryosuke Matsuo and Tomoyoshi
                 Yamazaki and Kenji Araki and Haruo Yokota",
  title =        "Methods for Analyzing Medical-Order Sequence Variants
                 in Sequential Pattern Mining for Electronic Medical
                 Record Systems",
  journal =      j-TOCH,
  volume =       "4",
  number =       "1",
  pages =        "3:1--3:??",
  month =        jan,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3561825",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:04 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3561825",
  abstract =     "Electronic medical record systems have been adopted by
                 many large hospitals worldwide, enabling the recorded
                 data to be analyzed by various computer-based
                 techniques to gain a better understanding of
                 hospital-based disease treatments. Among such
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "3",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Shi:2023:IAP,
  author =       "Keqin Shi and Zhen Chen and Xuejing Li and Zhifei Xiao
                 and Weiqiang Sun and Weisheng Hu",
  title =        "Inferring Activity Patterns from Sparse Step Counts
                 Data with Recurrent Neural Networks",
  journal =      j-TOCH,
  volume =       "4",
  number =       "1",
  pages =        "4:1--4:??",
  month =        jan,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3560468",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:04 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3560468",
  abstract =     "As an accurate measurement of physical activity, step
                 counts data can be collected expediently by smartphones
                 and wearable devices. Complete and high time-resolution
                 step counts data record the time and intensity of
                 individuals' physical activity in a day,. \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "4",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{An:2023:TLH,
  author =       "Sizhe An and Ganapati Bhat and Suat Gumussoy and Umit
                 Ogras",
  title =        "Transfer Learning for Human Activity Recognition Using
                 Representational Analysis of Neural Networks",
  journal =      j-TOCH,
  volume =       "4",
  number =       "1",
  pages =        "5:1--5:??",
  month =        jan,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3563948",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:04 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3563948",
  abstract =     "Human activity recognition (HAR) has increased in
                 recent years due to its applications in mobile health
                 monitoring, activity recognition, and patient
                 rehabilitation. The typical approach is training a HAR
                 classifier offline with known users and then using
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "5",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Wang:2023:AAB,
  author =       "Yiyuan Wang and Guillaume Wattelez and St{\'e}phane
                 Frayon and Corinne Caillaud and Olivier Galy and Kalina
                 Yacef",
  title =        "{ABIPA}: {ARIMA}-Based Integration of
                 Accelerometer-Based Physical Activity for Adolescent
                 Weight Status Prediction",
  journal =      j-TOCH,
  volume =       "4",
  number =       "1",
  pages =        "6:1--6:??",
  month =        jan,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3561611",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:04 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3561611",
  abstract =     "Obesity is a global health concern associated with
                 various demographic and lifestyle factors including
                 physical activity (PA). Research studies generally used
                 self-reported PA data or, when accelerometer-based
                 activity trackers were used, highly \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "6",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Akbari:2023:SBS,
  author =       "Fateme Akbari and Kamran Sartipi and Norm Archer",
  title =        "Synthetic Behavior Sequence Generation Using
                 Generative Adversarial Networks",
  journal =      j-TOCH,
  volume =       "4",
  number =       "1",
  pages =        "7:1--7:??",
  month =        jan,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3563950",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:04 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3563950",
  abstract =     "Due to the increase in life expectancy in advanced
                 societies leading to an increase in population age,
                 data-driven systems are receiving more attention to
                 support the older people by monitoring their health.
                 Intelligent sensor networks provide the ability
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "7",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Feng:2023:TSC,
  author =       "Yujie Feng and Jiangtao Wang and Yasha Wang and Xu
                 Chu",
  title =        "Towards Sustainable Compressive Population Health: a
                 {GAN}-based Year-By-Year Imputation Method",
  journal =      j-TOCH,
  volume =       "4",
  number =       "1",
  pages =        "8:1--8:??",
  month =        jan,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3571159",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:04 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3571159",
  abstract =     "Population health monitoring is a fundamental
                 component of the public health system. Due to the
                 high-cost nature of traditional population-wise
                 health-data collection methods, a class of
                 sparse-sampling-completion algorithms are proposed to
                 exploit the \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "8",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Adhikary:2023:SML,
  author =       "Rishiraj Adhikary and Dhruvi Lodhavia and Chris
                 Francis and Rohit Patil and Tanmay Srivastava and
                 Prerna Khanna and Nipun Batra and Joseph Breda and
                 Jacob Peplinski and Shwetak Patel",
  title =        "{SpiroMask}: Measuring Lung Function Using
                 Consumer-Grade Masks",
  journal =      j-TOCH,
  volume =       "4",
  number =       "1",
  pages =        "9:1--9:??",
  month =        jan,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3570167",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:04 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3570167",
  abstract =     "According to the World Health Organisation (WHO), 235
                 million people suffer from respiratory illnesses which
                 causes four million deaths annually. Regular lung
                 health monitoring can lead to prognoses about
                 deteriorating lung health conditions. This article
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "9",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Saffarpour:2023:PPA,
  author =       "Mahya Saffarpour and Debraj Basu and Fatemeh Radaei
                 and Kourosh Vali and Jason Y. Adams and Chen-Nee Chuah
                 and Soheil Ghiasi",
  title =        "Physiowise: a Physics-aware Approach to Dicrotic Notch
                 Identification",
  journal =      j-TOCH,
  volume =       "4",
  number =       "2",
  pages =        "10:1--10:??",
  month =        apr,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3578556",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:05 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3578556",
  abstract =     "Dicrotic Notch (DN), one of the most significant and
                 indicative features of the arterial blood pressure
                 (ABP) waveform, becomes less pronounced and thus harder
                 to identify as a matter of aging and pathological
                 vascular stiffness. Generalizable and \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "10",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Grohn:2023:QMB,
  author =       "Tommi Gr{\"o}hn and Sammeli Liikkanen and Teppo
                 Huttunen and Mika M{\"a}kinen and Pasi Liljeberg and
                 Pekka Marttinen",
  title =        "Quantifying Movement Behavior of Chronic Low Back Pain
                 Patients in Virtual Reality",
  journal =      j-TOCH,
  volume =       "4",
  number =       "2",
  pages =        "11:1--11:??",
  month =        apr,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3582487",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:05 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3582487",
  abstract =     "Chronic low back pain (CLBP) is a globally common
                 musculoskeletal problem. Measuring the sensation of
                 pain and the effect of a treatment has always been a
                 challenge for healthcare. Here, we study how the
                 movement data, collected while using a virtual
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "11",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Yang:2023:TGT,
  author =       "Zhenyu Yang and Yantao Li and Gang Zhou",
  title =        "{TS-GAN}: Time-series {GAN} for Sensor-based Health
                 Data Augmentation",
  journal =      j-TOCH,
  volume =       "4",
  number =       "2",
  pages =        "12:1--12:??",
  month =        apr,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3583593",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:05 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3583593",
  abstract =     "Deep learning has achieved significant success on
                 intelligent medical treatments, such as automatic
                 diagnosis and analysis of medical data. To train an
                 automatic diagnosis system with high accuracy and
                 strong robustness in healthcare, sufficient training
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "12",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Bardram:2023:DPH,
  author =       "Jakob E. Bardram and Claus Cramer-Petersen and Alban
                 Maxhuni and Mads V. S. Christensen and Per B{\ae}kgaard
                 and Dan R. Persson and Nanna Lind and Merete B.
                 Christensen and Kirsten N{\o}rgaard and Jayden Khakurel
                 and Timothy C. Skinner and Dagmar Kownatka and Allan
                 Jones",
  title =        "{DiaFocus}: a Personal Health Technology for Adaptive
                 Assessment in Long-Term Management of {Type 2}
                 Diabetes",
  journal =      j-TOCH,
  volume =       "4",
  number =       "2",
  pages =        "13:1--13:??",
  month =        apr,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3586579",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:05 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3586579",
  abstract =     "Type 2 diabetes (T2D) is a large disease burden
                 worldwide and represents an increasing and complex
                 challenge for all societies. For the individual, T2D is
                 a complex, multi-dimensional, and long-term challenge
                 to manage, and it is challenging to establish
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "13",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Beh:2023:MAP,
  author =       "Win-Ken Beh and Yu-Chia Yang and Yi-Cheng Lo and
                 Yun-Chieh Lee and An-Yeu(Andy) Wu",
  title =        "Machine-aided {PPG} Signal Quality Assessment {(SQA)}
                 for Multi-mode Physiological Signal Monitoring",
  journal =      j-TOCH,
  volume =       "4",
  number =       "2",
  pages =        "14:1--14:??",
  month =        apr,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3587256",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:05 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3587256",
  abstract =     "Photoplethysmography (PPG) is a non-invasive technique
                 for recording human vital signs. PPG is normally
                 recorded by wearable devices that are prone to
                 artifacts. This results in signal corruption that
                 decreases measurement accuracy. Thus, a signal quality
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "14",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kyono:2023:STE,
  author =       "Trent Kyono and Ioana Bica and Zhaozhi Qian and
                 Mihaela van der Schaar",
  title =        "Selecting Treatment Effects Models for Domain
                 Adaptation Using Causal Knowledge",
  journal =      j-TOCH,
  volume =       "4",
  number =       "2",
  pages =        "15:1--15:??",
  month =        apr,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3587695",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Fri Aug 25 12:30:05 MDT 2023",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3587695",
  abstract =     "While a large number of causal inference models for
                 estimating individualized treatment effects (ITE) have
                 been developed, selecting the best one poses a unique
                 challenge, since the counterfactuals are never
                 observed. The problem is challenged further in
                 \ldots{}",
  acknowledgement = ack-nhfb,
  ajournal =     "",
  articleno =    "15",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kumar:2023:FIB,
  author =       "Vijay Kumar and Kolin Paul",
  title =        "Fundus Imaging-Based Healthcare: Present and Future",
  journal =      j-TOCH,
  volume =       "4",
  number =       "3",
  pages =        "16:1--16:??",
  month =        jul,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3586580",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:57 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3586580",
  abstract =     "A fundus image is a two-dimensional pictorial
                 representation of the membrane at the rear of the eye
                 that consists of blood vessels, the optical disc,
                 optical cup, macula, and fovea. Ophthalmologists use it
                 during eye examinations to screen, diagnose, and
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Yfantidou:2023:YST,
  author =       "Sofia Yfantidou and Pavlos Sermpezis and Athena
                 Vakali",
  title =        "14 Years of Self-Tracking Technology for
                 {mHealth}-Literature Review: Lessons Learned and the
                 {PAST SELF} Framework",
  journal =      j-TOCH,
  volume =       "4",
  number =       "3",
  pages =        "17:1--17:??",
  month =        jul,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3592621",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:57 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3592621",
  abstract =     "In today's connected society, many people rely on
                 mHealth and self-tracking (ST) technology to help them
                 adopt healthier habits with a focus on breaking their
                 sedentary lifestyle and staying fit. However, there is
                 scarce evidence of such technological \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "17",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Kumar:2023:DLA,
  author =       "Vijay Kumar and Het Patel and Kolin Paul and Shorya
                 Azad",
  title =        "Deep Learning-assisted Retinopathy of Prematurity
                 {(ROP)} Screening",
  journal =      j-TOCH,
  volume =       "4",
  number =       "3",
  pages =        "18:1--18:??",
  month =        jul,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3596223",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:57 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3596223",
  abstract =     "Retinopathy of prematurity (ROP) is a leading cause of
                 blindness in premature infants worldwide, particularly
                 in developing countries. In this research, we propose a
                 Deep Convolutional Neural Network (DCNN) and image
                 processing-based approach for the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "18",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Demirel:2023:DDE,
  author =       "Berken Utku Demirel and Luke Chen and Mohammad
                 Abdullah {Al Faruque}",
  title =        "Data-driven Energy-efficient Adaptive Sampling Using
                 Deep Reinforcement Learning",
  journal =      j-TOCH,
  volume =       "4",
  number =       "3",
  pages =        "19:1--19:??",
  month =        jul,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3598301",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:57 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3598301",
  abstract =     "This article presents a resource-efficient adaptive
                 sampling methodology for classifying electrocardiogram
                 (ECG) signals into different heart rhythms. We present
                 our methodology in two folds: ( i ) the design of a
                 novel real-time adaptive neural network \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "19",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Hu:2023:ICB,
  author =       "Hengyi Hu and Larry Kerschberg",
  title =        "Improving Causal {Bayesian} Networks Using Expertise
                 in Authoritative Medical Ontologies",
  journal =      j-TOCH,
  volume =       "4",
  number =       "4",
  pages =        "20:1--20:??",
  month =        oct,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3604561",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:57 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3604561",
  abstract =     "Discovering causal relationships among symptoms is a
                 topical issue in the analysis of observational patient
                 datasets. A Causal Bayesian Network (CBN) is a popular
                 analytical framework for causal inference. While there
                 are many methods and algorithms \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "20",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Hurley:2023:CPO,
  author =       "Nathan C. Hurley and Sanket S. Dhruva and Nihar R.
                 Desai and Joseph R. Ross and Che G. Ngufor and
                 Frederick Masoudi and Harlan M. Krumholz and Bobak J.
                 Mortazavi",
  title =        "Clinical Phenotyping with an Outcomes-driven Mixture
                 of Experts for Patient Matching and Risk Estimation",
  journal =      j-TOCH,
  volume =       "4",
  number =       "4",
  pages =        "21:1--21:??",
  month =        oct,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3616021",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:57 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3616021",
  abstract =     "Observational medical data present unique
                 opportunities for analysis of medical outcomes and
                 treatment decision making. However, because these
                 datasets do not contain the strict pairing of
                 randomized control trials, matching techniques are to
                 draw \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "21",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Chen:2023:QGC,
  author =       "Long Chen and Jiangtao Wang and Piyushimita (Vonu)
                 Thakuriah",
  title =        "Quality-Guaranteed and Cost-Effective Population
                 Health Profiling: a Deep Active Learning Approach",
  journal =      j-TOCH,
  volume =       "4",
  number =       "4",
  pages =        "22:1--22:??",
  month =        oct,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3617179",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:57 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3617179",
  abstract =     "Reliability and cost are two primary considerations
                 for profiling population-scale prevalence (PPP) of
                 multiple non-communicable diseases (NCDs). In this
                 paper, we exploit intra-disease and inter-disease
                 correlation in different traditionally-sensed-areas
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "22",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Dedhia:2023:SSC,
  author =       "Bhishma Dedhia and Roshini Balasubramanian and Niraj
                 K. Jha",
  title =        "{SCouT}: Synthetic Counterfactuals via Spatiotemporal
                 Transformers for Actionable Healthcare",
  journal =      j-TOCH,
  volume =       "4",
  number =       "4",
  pages =        "23:1--23:??",
  month =        oct,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3617180",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:57 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3617180",
  abstract =     "The synthetic control method has pioneered a class of
                 powerful data-driven techniques to estimate the
                 counterfactual reality of a unit from donor units. At
                 its core, the technique involves a linear model fitted
                 on the pre-intervention period that combines \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "23",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Naeini:2023:DLB,
  author =       "Emad Kasaeyan Naeini and Fatemeh Sarhaddi and Iman
                 Azimi and Pasi Liljeberg and Nikil Dutt and Amir M.
                 Rahmani",
  title =        "A Deep Learning-based {PPG} Quality Assessment
                 Approach for Heart Rate and Heart Rate Variability",
  journal =      j-TOCH,
  volume =       "4",
  number =       "4",
  pages =        "24:1--24:??",
  month =        oct,
  year =         "2023",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3616019",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:57 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3616019",
  abstract =     "Photoplethysmography (PPG) is a non-invasive optical
                 method to acquire various vital signs, including heart
                 rate (HR) and heart rate variability (HRV). The PPG
                 method is highly susceptible to motion artifacts and
                 environmental noise. Unfortunately, such \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "24",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Arefeen:2024:IBI,
  author =       "Asiful Arefeen and Ali Akbari and Seyed Iman Mirzadeh
                 and Roozbeh Jafari and Behrooz A. Shirazi and Hassan
                 Ghasemzadeh",
  title =        "Inter-Beat Interval Estimation with Tiramisu Model: a
                 Novel Approach with Reduced Error",
  journal =      j-TOCH,
  volume =       "5",
  number =       "1",
  pages =        "1:1--1:??",
  month =        jan,
  year =         "2024",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3616020",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:58 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3616020",
  abstract =     "Inter-beat interval (IBI) measurement enables
                 estimation of heart-tare variability (HRV) which, in
                 turn, can provide early indication of potential
                 cardiovascular diseases (CVDs). However, extracting
                 IBIs from noisy signals is challenging since the
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Fan:2024:CPF,
  author =       "Shaojing Fan and Ramesh C. Jain and Mohan S.
                 Kankanhalli",
  title =        "A Comprehensive Picture of Factors Affecting User
                 Willingness to Use Mobile Health Applications",
  journal =      j-TOCH,
  volume =       "5",
  number =       "1",
  pages =        "2:1--2:??",
  month =        jan,
  year =         "2024",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3626962",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:58 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3626962",
  abstract =     "Mobile health (mHealth) applications have become
                 increasingly valuable in preventive healthcare and in
                 reducing the burden on healthcare organizations. The
                 aim of this article is to investigate the factors that
                 influence user acceptance of mHealth apps \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Woodward:2024:CDL,
  author =       "Kieran Woodward and Eiman Kanjo and Athanasios
                 Tsanas",
  title =        "Combining Deep Learning with Signal-image Encoding for
                 Multi-Modal Mental Wellbeing Classification",
  journal =      j-TOCH,
  volume =       "5",
  number =       "1",
  pages =        "3:1--3:??",
  month =        jan,
  year =         "2024",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3631618",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:58 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3631618",
  abstract =     "The quantification of emotional states is an important
                 step to understanding wellbeing. Time series data from
                 multiple modalities such as physiological and motion
                 sensor data have proven to be integral for measuring
                 and quantifying emotions. Monitoring \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Darco:2024:ASI,
  author =       "Luigi D'arco and Graham Mccalmont and Haiying Wang and
                 Huiru Zheng",
  title =        "Application of Smart Insoles for Recognition of
                 Activities of Daily Living: a Systematic Review",
  journal =      j-TOCH,
  volume =       "5",
  number =       "1",
  pages =        "4:1--4:??",
  month =        jan,
  year =         "2024",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3633785",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:58 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3633785",
  abstract =     "Recent years have witnessed the increasing literature
                 on using smart insoles in health and well-being, and
                 yet, their capability of daily living activity
                 recognition has not been reviewed. This paper addressed
                 this need and provided a systematic review of
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Thakur:2024:SRH,
  author =       "Dipanwita Thakur and Arindam Pal",
  title =        "Subsampled Randomized {Hadamard} Transformation-based
                 Ensemble Extreme Learning Machine for Human Activity
                 Recognition",
  journal =      j-TOCH,
  volume =       "5",
  number =       "1",
  pages =        "5:1--5:??",
  month =        jan,
  year =         "2024",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3634813",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:58 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3634813",
  abstract =     "Extreme Learning Machine (ELM) is becoming a popular
                 learning algorithm due to its diverse applications,
                 including Human Activity Recognition (HAR). In ELM, the
                 hidden node parameters are generated at random, and the
                 output weights are computed \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Li:2024:ERL,
  author =       "Pei-Xuan Li and Hsun-Ping Hsieh and Yang Fan-Chiang
                 and Ding-You Wu and Ching-Chung Ko",
  title =        "Enhancing Robust Liver Cancer Diagnosis: a Contrastive
                 Multi-Modality Learner with Lightweight Fusion and
                 Effective Data Augmentation",
  journal =      j-TOCH,
  volume =       "5",
  number =       "2",
  pages =        "6:1--6:??",
  month =        apr,
  year =         "2024",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3639414",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:58 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3639414",
  abstract =     "This article explores the application of
                 self-supervised contrastive learning in the medical
                 domain, focusing on classification of multi-modality
                 Magnetic Resonance (MR) images. To address the
                 challenges of limited and hard-to-annotate medical
                 data, we \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Chaudhuri:2024:GAC,
  author =       "Anik Chaudhuri and Anwoy Kumar Mohanty and Manoranjan
                 Satpathy",
  title =        "{GPU} Acceleration of a Conjugate Exponential Model
                 for Cancer Tissue Heterogeneity",
  journal =      j-TOCH,
  volume =       "5",
  number =       "2",
  pages =        "7:1--7:??",
  month =        apr,
  year =         "2024",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3643710",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:58 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3643710",
  abstract =     "Heterogeneity in the cell population of cancer tissues
                 poses many challenges in cancer diagnosis and
                 treatment. Studying the heterogeneity in cell
                 populations from gene expression measurement data in
                 the context of cancer research is a problem of
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Yao:2024:ITA,
  author =       "Zhenjie Yao and Yixin Chen and Jinwei Wang and Junjuan
                 Li and Shuohua Chen and Shouling Wu and Yanhui Tu and
                 Ming-Hui Zhao and Luxia Zhang",
  title =        "Interpretable Trend Analysis Neural Networks for
                 Longitudinal Data Analysis",
  journal =      j-TOCH,
  volume =       "5",
  number =       "2",
  pages =        "8:1--8:??",
  month =        apr,
  year =         "2024",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3648105",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:58 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3648105",
  abstract =     "Cohort study is one of the most commonly used study
                 methods in medical and public health researches, which
                 result in longitudinal data. Conventional statistical
                 models and machine learning methods are not capable of
                 modeling the evolution trend of the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "8",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Goh:2024:WTW,
  author =       "Teck Lun Goh and Li-Shiuan Peh",
  title =        "{WalkingWizard} --- a Truly Wearable {EEG} Headset for
                 Everyday Use",
  journal =      j-TOCH,
  volume =       "5",
  number =       "2",
  pages =        "9:1--9:??",
  month =        apr,
  year =         "2024",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3648106",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:58 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3648106",
  abstract =     "Electroencephalography (EEG) provides an opportunity
                 to gain insights to electrocortical activity without
                 the need for invasive technology. While increasingly
                 used in various application areas, EEG headsets tend to
                 be suited only to a laboratory \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Yao:2024:SSR,
  author =       "Hao-Ren Yao and Nairen Cao and Katina Russell and
                 Der-Chen Chang and Ophir Frieder and Jeremy T.
                 Fineman",
  title =        "Self-Supervised Representation Learning on Electronic
                 Health Records with Graph Kernel Infomax",
  journal =      j-TOCH,
  volume =       "5",
  number =       "2",
  pages =        "10:1--10:??",
  month =        apr,
  year =         "2024",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3648695",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:58 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3648695",
  abstract =     "Learning Electronic Health Records (EHRs)
                 representation is a preeminent yet under-discovered
                 research topic. It benefits various clinical decision
                 support applications, e.g., medication outcome
                 prediction or patient similarity search. Current
                 approaches \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "10",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Tazi:2024:SAP,
  author =       "Faiza Tazi and Archana Nandakumar and Josiah Dykstra
                 and Prashanth Rajivan and Sanchari Das",
  title =        "{SoK}: Analyzing Privacy and Security of Healthcare
                 Data from the User Perspective",
  journal =      j-TOCH,
  volume =       "5",
  number =       "2",
  pages =        "11:1--11:??",
  month =        apr,
  year =         "2024",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3650116",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:58 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3650116",
  abstract =     "Interactions in healthcare, by necessity, involve
                 sharing sensitive information to achieve high-quality
                 patient outcomes. Therefore, sensitive data must be
                 carefully protected. This article explores existing
                 privacy and security research conducted in the
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "11",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

@Article{Song:2024:LRS,
  author =       "Siyang Song and Yiming Luo and Tugba Tumer and
                 Changzeng Fu and Michel Valstar and Hatice Gunes",
  title =        "Loss Relaxation Strategy for Noisy Facial Video-based
                 Automatic Depression Recognition",
  journal =      j-TOCH,
  volume =       "5",
  number =       "2",
  pages =        "12:1--12:??",
  month =        apr,
  year =         "2024",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3648696",
  ISSN =         "2691-1957 (print), 2637-8051 (electronic)",
  ISSN-L =       "2691-1957",
  bibdate =      "Tue Apr 30 11:06:58 MDT 2024",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/toch.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3648696",
  abstract =     "Automatic depression analysis has been widely
                 investigated on face videos that have been carefully
                 collected and annotated in lab conditions. However,
                 videos collected under real-world conditions may suffer
                 from various types of noise due to challenging
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "12",
  fjournal =     "ACM Transactions on Computing for Healthcare
                 (HEALTH)",
  journal-URL =  "https://dl.acm.org/loi/health",
}

%%% [30-Apr-2024] TO DO: check possibly incomplete v5n2