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4 years ago
Video: Using Association Rule Mining to Identify Risks for Readmissions

 

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

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 Dr. Zasadil holds a Ph.D. in Mathematical Physics from Indiana University with a specialization in Partial Differential Equations, Numerical Analysis, and Statistical Mechanics. He is the Chief Scientist for the Health Economics department at UPMC Health Plan where he utilizes machine learning and data mining techniques in the development of predictive models. His prior job titles have included positions as: mathematician, physicist, software engineer and scientist. He has been involved in the programming, modeling, simulation and data analysis of projects in the fields of atmospheric physics, radiation oncology, supply chain logistics, and medical informatics.

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