CSCI 5980/8980: Machine Learning for Healthcare
University of Minnesota, Twin Cities, Fall 2024.
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Overview
Machine Learning is transforming healthcare. This course will introduce students to a range of healthcare problems that can be tackled using machine learning, different health data modalities, relevant machine learning paradigms, and the unique challenges presented by healthcare applications. Applications we will cover include risk stratification, disease progression modeling, precision medicine, diagnosis, prognosis, subtype discovery, and improving clinical workflows. We will also cover research topics such as explainability, causality, trust, robustness, and fairness.
The prerequisite for this class is CSCI 5521 or an equivalent course. Experience with Python is recommended. Graduate and senior undergraduate students (from ECE, BICB, BME, IHI and other departments) with introductory machine learning knowledge are also welcome. Please contact the instructor, if you are unsure whether you meet the prerequisites.
