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DMAH 2022 : The Eighth International Workshop on Data Management and Analytics for Medicine and Healthcare

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Link: https://sites.google.com/view/vldbdmah2022/
 
When Sep 9, 2022 - Sep 9, 2022
Where Sydney, Australia - virtual event
Submission Deadline May 16, 2022
Notification Due Jun 10, 2022
Final Version Due Jun 25, 2022
Categories    database   machine learning   medical informatics   data mining
 

Call For Papers

-- Call for Papers --

The Eighth International Workshop on Data Management and Analytics
for Medicine and Healthcare (DMAH 2022)
In Conjunction with VLDB 2022
Sydney, Australia - virtual event
September 9, 2022
https://sites.google.com/view/vldbdmah2022/

The format of the workshop is to be decided, but a virtual format will be provided for remote participation.

Healthcare enterprises are producing large amounts of data through electronic
medical records, medical imaging, health insurance claims, surveillance, and
others. Such data have high potential to transform current healthcare to
improve healthcare quality and prevent diseases, and advance biomedical
research. Medical Informatics is an interdisciplinary field that studies
and pursues the effective use of medical data, information, and knowledge
for scientific inquiry, problem solving and decision making, driven by efforts
to improve human health and well being.

The goal of the workshop is to bring people in the field cross-cutting
information management and medical informatics to discuss innovative data
management and analytics technologies highlighting end-to-end applications,
systems, and methods to address problems in healthcare, public health, and
everyday wellness, with clinical, physiological, imaging, behavioral,
environmental, and omic- data, and data from social media and the Web. It
will provide a unique opportunity for interaction between information
management researchers and biomedical researchers for the interdisciplinary
field.

This workshop welcomes papers that address fundamental research issues
for complex medical data environments, data management and analytical
methods, systems and applications.

Topics of interest include, but not limited to:

Big data management for medical data;
Blockchain for healthcare;
Biomedical data integration;
Biomedical knowledge management and decision support;
Semantics and interoperability for healthcare data;
Clinical natural language processing and text mining;
Predictive modeling for diagnosis and treatment;
Visual analytics for medical data;
Medical image analytics;
Data privacy and security for healthcare data;
Hospital readmission analytics;
Medical fraud detection;
Social media and Web data analytics for public health
(public health 2.0);
Data analytics for pervasive computing for medical care.


DMAH 2022 accept two types of papers:
1) Regular research papers reporting original research results or significant
case studies (18 pages).
2) Short papers will be 6 pages.
3) Abstracts will be 2 pages


Important Dates:

Abstract (optional): May 10, 2022
Individual Workshop Papers: May 16, 2022
Notification of Acceptance: June 10, 2022
Camera Ready: June 25, 2022
Workshop date: September 9, 2022



All submitted papers will be rigorously reviewed. All accepted papers will
be made available as a workshop proceedings to be published by Springer LNCS.

Workshop Chairs:

Chairs:
Fusheng Wang, Stony Brook University, USA
Gang Luo, University of Washington, USA
Dejun Teng, Alibaba Inc., China
Jun Kong, Georgia State University, USA

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