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 24 - Robustness to Dataset Shift
Instructor: Prof. David Sontag. This lecture is primarily a discussion on things that can go wrong when deploying a machine learning model, even one that may have trained and tested well prior to deployment.