Learning Treatment Policies in Mobile Health
en-fr
en-es
en
en-sl
0.25
0.5
0.75
1.25
1.5
1.75
2
I 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.