CSCI5526: Machine Learning for Healthcare: Concepts and Applications
3 Credits
Introduction to machine learning (ML) in healthcare with focus on various health data modalities, ML paradigms, and the unique challenges of health applications. Topics include risk stratification, disease progression models, diagnosis, prognosis, subtype discovery, medical image analysis, and clinical text mining. Course includes coding exercises using real-world health data and a final project.
PreReqs: CSCI 4521 OR 5521 OR 5523 OR Instructor Consent
Gopher Grades is maintained by Social Coding with data from Summer 2017 to Fall 2025 provided by the University in response to a public records request