-- 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.
Submitted papers can be of three types:
1) Regular Research Papers: These papers should report original research
results or significant case studies. They should be at most 12 pages.
2) Short Papers: These papers should offer a focused contribution to the
research program. They should be at most 6 pages.
3) Extended Abstracts. The extended abstracts will present novel research
directions or identify challenging problems. They should be at most 2 pages.
Important Dates:
Individual Workshop Papers: June 1, 2015, 11.59 pm PST
Notification of Acceptance: June 27, 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.
Organizing Committee:
Workshop Chairs:
Fusheng Wang, Stony Brook University, USA
Gang Luo, University of Utah, USA
Further details: http://dmah.info
_______________________________________________
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai
