GMS 7858
Causal Artificial Intelligence for Health Research
This course covers foundational issues in “causal Artificial Intelligence” embedding machine learning with causal inference methods on real-world data, and methodologies for automated causal learning. Health research approaches such as target trials and transportability will be discussed, as well as Artificial Intelligence fairness to tackle health disparities and inequity.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: Instructor approval.GMS7858
Sources
- Course catalogue ↗2025-2026
- Catalogue entry ↗
Catalogue variants
- Causal Artificial Intelligence for Health Research · 3 Credits