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HLTH 657MApplication of Artificial Intelligence in Health

Units
0.25
Level
Graduate
Faculty
Health
Subject
Public Health Sciences

HLTH 657M as listed in the Spring 2026 Graduate Calendar. The main page has the current version, when it runs, and seats.

This course focuses on the application of machine learning (ML) and artificial intelligence (AI) techniques in the field of in healthcare and public health settings. Big data sources available for population health studies will be introduced to students and challenges related to AI in health data will also be discussed. The learning activities consist of lectures, student-led journal club discussions and a term paper to propose the application of ML techniques to solve population health or public health problems. Students who do not have the prerequisites but have completed an equivalent course that provides programming skills may be permitted to enrol in the course at the instructor’s discretion.

Prerequisites

  • Must have completed at least 1 of the following:
    • HLTH605A - Regression Models (0.50)
    • HLTH605B - Quantitative Methods and Analysis (0.50)
    • HLTH619 - Fundamental Research Methods in Health Informatics (0.50)

Antirequisites

None listed.

Leads to

Check it elsewhere for Spring 2026

Calendar versions

Graduate Calendar