Course Description

HDA 615 PRED MODEL & MACHINE LEARNING HLTHCR   3.0 Credit(s)
This course introduces graduate students to the theory and practical application of predictive modeling and machine learning techniques within the healthcare sector. Students will learn how to build, evaluate, and interpret models that can forecast disease risk, predict patient outcomes, optimize clinical workflows, and personalize treatment plans. The curriculum is designed to move students from foundational concepts to hands-on application using real-world health datasets. Prerequisite: Take HDA-610
Offered: As Needed All Years