6th INFORMS Workshop on Data Mining and Health Informatics http://meetings2.informs.org/charlotte2011/dmhi.html
The Data Mining (DM), Artificial Intelligence (AI), and Health Applications (HA) Subdivisions of the Institute for Operations Research and Management Sciences (INFORMS) are jointly organizing the 6th Pre-conference Workshop on Data Mining and Health Informatics (INFORMS DM-HI 2011) on November 12, 2011 at Charlotte, North Carolina, in conjunction with the 2011 INFORMS Annual Conference. The theme of the workshop centers on health informatics. On behalf of the INFORMS DM-HI 2011 Organizing Committee, we would like to invite you to submit an abstract, not exceeding 200 words, for review. Authors of accepted abstracts will be expected to give a presentation at the Workshop and submit a short paper, not exceeding 6 pages, for the Workshop Proceedings, to be published on a CD. TOPICS OF INTEREST INCLUDE, BUT ARE NOT LIMITED TO: Foundations of Data Mining and Artificial Intelligence AI/DM in Operations Research and Operations Management Machine Learning Statistical Learning Bioinformatics Pattern Recognition Natural Language Processing Intelligent Information Retrieval Visualization Healthcare DM and Knowledge Discovery Healthcare Logistics Healthcare Simulations Patient Flow Modeling Medical Imaging Medical Decision Making Biosurveillance, Healthcare, and Public Health Surveillance Disease Modeling and Prevention Disease Spread and Transmission Simulations Multi-agent Systems Risk Management Global Health Biomedical Simulation Case Studies TIME LINE July 15 : 200-word abstracts due Aug. 5: Acceptance decisions sent out Sep. 30: Proceedings papers due Nov. 12: Workshop SUBMISSION POLICY Submissions can describe work at any stage of publication (unpublished, submitted, accepted or published). If the work has already been published it is essential to check with the publisher to be certain that a submission to INFORMS does not violate the publisher's policy. For inquiries, please contact Program co-Chairs: Peter Qian (University of Wisconsin-Madison) Yilu Zhou (George Washington University) Cynthia Rudin (MIT) Management Committee: Kwok-Leung Tsui (Georgia Institute of Technology) Tory Chen (University of Texas at Arlington) George Runger (Arizona State University) Tom Au (AT&T Labs)
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