-- Call for Papers --
        
   The First International Workshop on Data Management and Analytics
                    for Medicine and Healthcare (DMAH 2015)
                   In Conjunction with VLDB 2015
              Big Island, Hawaii, September 4, 2015
                        http://dmah.info/


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 integration for medical data;
Data cleansing for noisy and missing data;
Medical data and knowledge management and decision support;
Data management technologies for medical data;
Semantic Web and ontologies for clinical and biomedical applications;
Medical natural language processing and text mining;
Data mining and knowledge discovery from medical data;
Algorithms to speed up the analysis of big medical data;
Innovative visualization techniques for query and analysis of medical data;
Medical image mining;
Medical information retrieval;
Data privacy and security for healthcare data;
Hospital readmission analytics;
Medical fraud detection;
Social media and Web data analytics for public health;
Data analytics for pervasive computing for medical care.

DMAH 2015 accept three types of papers:
1) Regular research papers reporting original research results or significant
   case studies (12 pages).
2) Short research papers with a focused contribution to the research program
   (6 pages).
3) Extended abstracts presenting novel research directions or challenging
   problems (2 pages).


Important Dates:

Individual workshop papers: June 1, 2015, 11.59 pm PST
Notification of acceptance: June 27, 2015
Camera ready: July 9, 2015
Workshop date: September 4, 2015

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 Utah, USA
   Chunhua Weng, Columbia University, USA

Program Committee:
    Syed Sibte Raza Abidi, Dalhousie University, Canada
    Ümit Çatalyürek, The Ohio State University, USA
    Carlo Combi, University of Verona, Italy
    Amarendra Das, Dartmouth College, USA
    Peter Elkin, University of Buffalo, USA
    Kerstin Denecke, Universität Leipzig, Germany
    Dejing Dou, University of Oregon, USA
    Guoqian Jiang, Mayo Clinic, USA
    Tahsin Kurc, Stony Brook University, USA
    Fernando Martin-Sanchez, University of Melbourne, Australia
    Casey Overby, University of Maryland, USA
    Jyotishman Pathak, Mayo Clinic, USA
    Yuval Shahar, Ben Gurion University, Israel
    Jimeng Sun, Georgia Institute of Technology, USA
    Nicholas Tatonetti, Columbia University, USA
    Xiang Li, Fudan University, China
    Li Xiong, Emory University, USA
    Hua Xu, University of Texas Health Science Center, USA
    Lin Yang, University of Florida, USA
    Lixia Yao, University of North Carolina at Charlotte, USA
    Meliha Yetisgen, University of Washington, USA

Further details: http://dmah.info





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