New analytics model predicts readmission of congestive heart failure patients

14 mayo 2015

Readmission of patients with chronic diseases is a growing problem, costing the U.S. health-care system about $25 billion each year. Researchers have developed a predictive analytics model that can identify congestive heart failure patients with high readmission risk and potentially help stymie those costs.
http://feeds.sciencedaily.com/~r/sciencedaily/~3/mnlLH_i5-6s/150514102807.htm

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