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 23 - Fairness
Instructor: Prof. Peter Szolovits. In this lecture, Prof. Szolovits talks about algorithmic fairness and fairness in the way we build machine learning models. He raises the question "What do we mean by fairness in society?" and discusses how that affects prediction models.