@Preamble{"\input bibnames.sty" #
"\ifx \undefined \booktitle \def \booktitle #1{{{\em #1}}} \fi" #
"\ifx \undefined \TM \def \TM {${}^{\sc TM}$} \fi"
}
@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/|"}
@String{j-TOCH = "ACM Transactions on Computing for Healthcare
(HEALTH)"}
@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",
}
