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HLTH 650BMachine Learning Techniques in Health

Units
0.25
Level
Graduate
Faculty
Health
Subject
Public Health Sciences

Not in the current Graduate Calendar. Shown as it appeared in Spring 2025.

When it runs

  1. F24
  2. W25
  3. S25
  4. F25
  5. W26
  6. S26
  7. F26
  8. W27
  9. S27

Ran in 1 of the last 7 terms. Winter 2027: not on the schedule. Spring 2027: schedule not out yet.

This course focuses on the techniques of machine learning (ML) commonly used to solve healthcare and public health problems. Various analytics techniques, including data wrangling, visualization, unsurprised and supervised learning, will be introduced to students. Challenges and strategies related to missing data, imbalanced data and model selections will also be discussed. The learning activities consist of lectures, labs, and a final project to demonstrate the proficiency of ML techniques to solve population health or public health problems.

Prerequisites

  • Must have completed the following:
    • HLTH650A - Application of Artificial Intelligence in Health (0.25)

Antirequisites

None listed.

Leads to

Check it elsewhere for Fall 2026

Calendar versions

Graduate Calendar