Learning Treatment Policies in Mobile Health

author: Susan A. Murphy, Department of Statistics, University of Michigan
published: Dec. 5, 2015,   recorded: October 2015,   views: 32
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Description

We describe a sequence of steps that facilitate effective learning of treatment policies in mobile health. These include a clinical trial with associated sample size calculator and data analytic methods. An off-policy Actor-Critic algorithm is developed for learning a treatment policy from this clinical trial data. Open problems abound in this area, including the development of a variety of online predictors of risk of health problems, missing data and disengagement.

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