Video: Superutilizers Made Simple. Identifying High-Cost Recipients - Machine Learning Times - machine learning & data science news
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5 years ago
Video: Superutilizers Made Simple. Identifying High-Cost Recipients

 

This speaker session is from Predictive Analytics World for Healthcare, October, 5–9, 2014 in Boston, MA:

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 Aran Canes has been leveraging his expertise in data analytics since graduating from the University of Virginia in 1998 with a BA in Physics. He worked for several years at an economics consulting firm and the Antitrust Division of the Justice Department, during which he calculated damages from intellectual property lawsuits, determined potential fines for collusion, and analyzed the competitive effects of mergers. Since graduating from the University of Maryland in 2010 with a MA in Economics, Aran has been working in health care-in program integrity, quality improvement and pharmaceuticals. He has built models to detect pain killer over-utilization, created

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