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HLTH 718MNatural Language Processing Algorithm and Application in Health

Units
0.25
Level
Graduate
Faculty
Health
Subject
Public Health Sciences

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 presents natural language processing techniques (NLP) and their optimization and applications in healthcare and public health. Classic NLP techniques and the state-of-the-art transformer-based language processing models will be introduced. Challenges and barriers of processing and understanding medical notes, reports and social data will be discussed. This course will present some advanced NLP solutions to those barriers and how NLP advances are being applied to health. This is a modular seminar-style course. There will be a series of lectures from faculty members and researchers from the health and NLP community. Students who do not have the prerequisites but have Python programming and ML skills may be permitted to enrol in the course at the instructor’s discretion.

Prerequisites

  • Complete 1 of the following
    • Must have completed the following:
      • HLTH619 - Fundamental Research Methods in Health Informatics (0.50)
    • Must have completed the following:
      • HLTH657M - Application of Artificial Intelligence in Health (0.25)
      • HLTH658M - Machine Learning Techniques in Health (0.25)

Antirequisites

None listed.

Leads to

No course lists it as a requisite.

Check it elsewhere for Fall 2026

Calendar versions

Graduate Calendar