6.S897 Machine Learning for Healthcare (Spring 2019, MIT OCW): Lecture 19 - Disease Progression Modeling and Subtyping, Part 2

6.S897 Machine Learning for Healthcare

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 19 - Disease Progression Modeling and Subtyping, Part 2

Instructor: Prof. David Sontag. Prof. Sontag begins with a recap of the goal of disease progression modeling and then discusses staging from cross-sectional data and simultaneous staging and subtyping.

Go to the Course Home or watch other lectures:

Lecture 01 - What Makes Healthcare Unique?

Lecture 02 - Overview of Clinical Care

Lecture 03 - Deep Dive into Clinical Data

Lecture 04 - Risk Stratification, Part 1

Lecture 05 - Risk Stratification, Part 2

Lecture 06 - Physiological Time-Series

Lecture 07 - Natural Language Processing, Part 1

Lecture 08 - Natural Language Processing, Part 2

Lecture 09 - Translating Technology into the Clinic

Lecture 10 - Application of Machine Learning to Cardiac Imaging

Lecture 11 - Differential Diagnosis