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 25 - Interpretability
Instructor: Prof. Peter Szolovits. Prof. Szolovits discusses interpretability because modern machine learning models are very difficult to understand. He discusses different methods that have been used to attempt to overcome inscrutable models.