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November 4, 2010 This paper, by Casey Bennett, M.A. and Thomas W. Doub, Ph.D., is an excerpt from Proceedings of the 6th International Conference on Data Mining, and explores the problem of turning the health-related data that electronic health records (EHRs) capture into useful information. Models produced via data mining and predictive analysis profile inherited risks and environmental/behavioral factors associated with patient disorders, which can be utilized to generate predictions about treatment outcomes. This can form the backbone of clinical decision support systems driven by live data based on . . .
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