Data for Better Health: Informing Healthcare Decisions

Catalog description

Students apply basic knowledge and skills from healthcare data mining and professional project management to address practical healthcare business, clinical intelligence, and public health issues. The course explores a range of essential topics, with a focus on classification, association, clustering, and anomaly detection. The course aims to help students understand techniques that can be applied to different problems and their limitations, evaluate the results, and select the appropriate methods when confronted with novel problems. Semester(s) Offered: Offered as needed