6.S897/HST.956 Machine Learning for Healthcare (Spring 2019, MIT OCW). Instructors: Prof. David Sontag and Prof. Peter Szolovits. This course introduces students to machine learning in healthcare, including the nature of clinical data and the use of machine learning for risk stratification, disease progression modeling, precision medicine, diagnosis, subtype discovery, and improving clinical workflows.
(from ocw.mit.edu)
Lecture 17 - Reinforcement Learning, Part 2
Instructor: Prof. David Sontag. In the first half, Prof. Sontag discusses how to evaluate different policies in causal inference and how it is related to reinforcement learning. In the second half, Dr. Barbra Dickerman talks about evaluating dynamic treatment strategies.