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CALL FOR PAPERS AND DEMONSTRATIONS:<br>
<br>
Workshop on Visual Analytics in Healthcare (VAHC)<br>
(In conjunction with IEEE VIS 2023)<br>
Website: <a class="moz-txt-link-abbreviated" href="http://www.visualanalyticshealthcare.org">www.visualanalyticshealthcare.org</a><br>
<br>
The submission deadline is July 17, 2023, creating an opportunity to
showcase late-breaking research results on Visual Analytics in
Healthcare.<br>
<br>
CALL FOR PAPERS:<br>
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The 2023 Workshop on Visual Analytics in Healthcare (VAHC 2023) is the
14th annual workshop that provides an opportunity for participants to
discuss state-of-the-art interactive visual data analysis techniques and
review how such techniques can be applied to healthcare data. The
primary objective of the workshop is to bring together leading VIS
designers, scientists, medical experts, and visionaries to discuss: a)
interactive data visualization techniques that can be applied to
healthcare data, b) areas of healthcare that need more attention from
visualization and visual data analysis research, and c) emerging
research trends, visualization techniques, software applications,
benchmarks, and open datasets. The workshop will enable presenters to
showcase their ongoing work through oral presentation and system demos,
either as video supplemental material or live demos during the workshop
to be arranged with the organizers for maximum visibility. In years
past, demos of prototype and/or production visual analytics software
have been particularly well received, and paper submitters are
encouraged to submit a companion demo proposal.<br>
<br>
BEST PAPERS:<br>
----------------<br>
VAHC assigns Best Paper and Honorable Mention awards. The awards entail a
certificate and recognition on the VAHC website. This year, we also
plan to invite authors of high-quality papers to submit a revised and
extended version to an internationally recognized scientific journal.
The topic of this special issue will be “Interactive Visualization of
Health Data for Digital and Personal Health”. The review process will
seek to assign the same reviewers for previously accepted VAHC papers.
Watch out for details in our second call for papers.<br>
<br>
TOPICS AND SCOPE:<br>
------------------<br>
We welcome discussions of the use of visual approaches, interaction
design, statistical methods, and machine learning for healthcare data
analysis. Participants may address the needs of various user groups,
including (but not limited to) patients, clinical researchers,
epidemiologists, public health analysts, physicians, hospital-based
quality assurance officers, and insurance claim analysts.<br>
<br>
The 2023 Workshop on Visual Analytics in Healthcare will cover a range
of topics on the design, implementation, deployment, evaluation, and
abstraction of visual analytics methods, including (but not limited to):<br>
Clinical care<br>
- Prescription drugs and drug-drug interactions<br>
- Multi-omic datasets<br>
- Longitudinal clinical data<br>
- Visual data mining of EMRs<br>
- Specific treatment contexts, emergency department, patient safety,
mental health.<br>
- Clinical workflows<br>
- Outcome forecasting or prediction<br>
- Explainable AI and ML in healthcare <br>
Digital health and personal health<br>
- Mobile health<br>
- Wearable devices' data control and processing<br>
- Telehealth and telemedicine<br>
- Personalized medicine<br>
Patient-related applications:<br>
- Patient-generated health data<br>
- Understanding of patient behavior and experience <br>
- Patient education<br>
- Physician-patient communication<br>
Public health data: <br>
- Pandemic forecasting and tracking<br>
- Learning from crises with visualization<br>
- Public health surveillance systems<br>
<br>
<br>
PAPER SUBMISSION AND FORMAT GUIDELINES:<br>
---------------------------------------<br>
VAHC 2023 will have a new paper format!<br>
We will accept short papers with up to six pages plus one page of
references (6+1). <br>
<br>
We encourage a diverse range of submissions and demonstrations from
academia, healthcare organizations, and industry in any of the short
paper types listed below: <br>
Application papers (format: “6+1”)<br>
Research papers (format: “6+1”)<br>
Positions and system demo papers (format “2+1”)<br>
Posters (format: “2+1” abstract and A0 poster)<br>
<br>
Accepted application papers and research papers will be published in the
IEEE Xplore digital library. Accepted system demo papers and posters
will be included in the VAHC proceedings and made available via IEEE VIS
for digital download.<br>
All accepted types of submissions will have the chance for an oral
presentation.<br>
<br>
Demo: Every system demo paper may be accompanied by a video demo
submission<br>
<br>
All material will be submitted via the Precision Conference System
(PCS):<br>
<a class="moz-txt-link-freetext" href="https://new.precisionconference.com/user/login?society=vgtc">https://new.precisionconference.com/user/login?society=vgtc</a><br>
<br>
For all submissions, please use the VGTC conference style template: <br>
<a class="moz-txt-link-freetext" href="http://ieeevis.org/year/2021/info/call-participation/shortpapers">http://ieeevis.org/year/2021/info/call-participation/shortpapers</a><br>
<br>
<br>
Contact vahc.sig at gmail.com if you have any questions.<br>
<br>
<br>
IMPORTANT DATES:<br>
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Deadline for submission: July 17, 2023<br>
Notification of acceptance: August 14, 2023<br>
Camera-ready papers due: August 28, 2023<br>
VAHC 2023 workshop: October 22 or 23, 2023<br>
<br>
<br>
JOIN OUR MAILING LIST:<br>
----------------------<br>
Visit <a class="moz-txt-link-abbreviated" href="http://www.visualanalyticshealthcare.org">www.visualanalyticshealthcare.org</a> to join our mailing list.<br>
<br>
<br>
ORGANIZERS:<br>
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Jürgen Bernard University of Zurich General Chair<br>
Annie T. Chen University of Washington Co-Chair<br>
Danny T.Y. Wu University of Cincinnati Co-Chair<br>
<br>
<div class="moz-signature">-- <br><span style="font-weight: bold;">Jürgen
Bernard</span><br>
<span style="font-style: italic;">Assistant Professor of Computer
Science</span><span style="font-style: italic;"><br>
</span><span style="font-style: italic;">
University of Zurich</span><span style="font-style: italic;"><br>
</span><span style="font-style: italic;">
<a href="https://juergen-bernard.de">juergen-bernard.de</a><br>
</span></div>
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