Abstract

Health care represents an increasing proportion of global consumption. We discuss ways to model health care utilization on an individual basis. We present a probabilistic, generative model of utilization. Leveraging previously observed utilization levels, we learn a latent structure that can be used to accurately understand risk and make predictions. We evaluate the effectiveness of the model using data from a large population.

Degree

MS

College and Department

Physical and Mathematical Sciences; Mathematics

Rights

http://lib.byu.edu/about/copyright/

Date Submitted

2016-03-01

Document Type

Thesis

Handle

http://hdl.lib.byu.edu/1877/etd8336

Keywords

health care, health insurance, generative model, graphical model

Language

english

Included in

Mathematics Commons

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