-- Call for Papers --
The Sixth International Workshop on Data Management and Analytics
for Medicine and Healthcare (DMAH 2020)
In Conjunction with VLDB 2020
Tokyo, Japan
September 04, 2020
https://sites.google.com/site/vldbdmah2020/
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 2020 accept two types of papers:
1) Regular research papers reporting original research results or significant
case studies (18 pages).
2) Extended abstracts presenting novel research directions or challenging
problems (4 pages).
Important Dates:
Abstract (optional): May 29, 2020
Individual Workshop Papers: June 5, 2020 Notification of Acceptance: July 3,
2020 Camera Ready: July 10, 2020 Workshop date: September 04, 2020
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:
Fusheng Wang, Stony Brook University, USA
Gang Luo, University of Washington, USA
Alevtina Dubovitskaya, Lucerne University
of Applied Sciences and Arts and Swisscom, Switzerland
Jun Kong, Georgia State University, USA
Program Committee
Edmon Begoli, Oak Ridge National Laboratory, USA Yang Cao, Kyoto University,
Japan Blair Christian, Oak Ridge National Laboratory, USA Dejing Dou,
University of Oregon, USA Alevtina Dubovitskaya, Lucerne University of Applied
Sciences and Arts and Swisscom, Switzerland Peter Elkin, University at Buffalo,
USA
Zhe He, Florida State University, USA
Vagelis Hristidis, University of California-Riverside, USA Athirai Irissappane,
University of Washington, USA
Guoqian Jiang, Mayo Clinic College of Medicine, USA
Jun Kong, Georgia State University, USA
Tahsin Kurc, Stony Brook University, USA Yanhui Liang, Google Inc., USA Gang
Luo, University of Washington, USA Ye Ye, University of Pittsburgh, USA Rui
Zhang, University of Minnesota, USA
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