ML4H

The Machine Learning for Health group (ML4H@cs.toronto) targets "Healthy ML", focusing on creating applying machine learning to understand and improve health.

We believe that health is important, and improvements in health improve lives. However, we still don't fundamentally understand what it means to be healthy, and the same patient may receive different treatments across different hospitals or clinicians as new evidence is discovered, or individual illness is interpreted. Health is unlike many success stories in machine learning so far - games like Go and self-driving cars - because we do not have well-defined goals that can be used to learn rules. The nuance of health also requires that we keep machine learning models "healthy" - working to ensure that they do not learn biased rules or detrimental recommendations.

Improving health requires targeting and evidence – our group tackles part of this puzzle with machine learning. There are many novel technical opportunities for machine learning in health challenges, and important progress to be made with careful application to domain.

Read more about our Research Directions and Publications.


Recent News


Upcoming Talks

    • Panel Discussion on The Need for Interpretable and Fair Algorithms in Health Care and Policy at JSM 2020, Philadelphia, PA, August 1-6, 2020.
    • Invited Talk at BX2020 "Behavioural Exchange" Conference,  University of Toronto, CA, July 13-14, 2020.
    • Invited Talk at the Stanford Center for Bioethics Lecture Series, Palo Alto, CA, June 2, 2020.
    • Keynote Panel on Impact of AI for Life Sciences Career Expo 2020, Hart House, University of Toronto, CA, May 14, 2020.
    • Invited Talk at Symposium on Artificial Intelligence for Learning Health Systems (SAIL), Bermuda, April 28, 2020.
    • The Walrus talks "Intelligence", New York, April 14, 2020.
    • General Chair for the ACM Conference on Health, Inference, and Learning (CHIL), Toronto, CA, April 2-4, 2020.
    • National Academies of Sciences, Engineering, and Medicine and  U.S. Government Accountability Office (GAO) summit on artificial intelligence and health care services in Washington, DC, March 31-April 1, 2020.

Recent Talks