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
- F24
- W25
- S25
- F25
- W26
- S26
- F26
- W27
- 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
- Graduate Calendar, Spring 2025The archived entry
- Requirements for Fall 2026Waterloo’s requisite checker
- Schedule of Classes, Fall 2026Instructors, rooms, live seats
- Quest Class SearchWhere you enrol
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them
Calendar versions
Graduate Calendar
- Fall 2024
- Winter 2025
- Spring 2025 (shown here)
- Winter 2024 and earlier in the calendar archives