NUR 3082 - INTRODUCTION TO MACHINE LEARNING IN HEALTHCARE
Minimum Credits: 3
Maximum Credits: 3
Machine learning involves the application of advanced computing methods in the delivery of healthcare services. Predictive and causal models using machine learning will be increasingly used in clinical practice in the coming decade. However, in order to better adopt machine learning-based discoveries into health sciences effectively; scientists need to learn the fundamentals of machine learning models and understand the current state-of-the-science of these methods in various clinical applications. This course focuses on understanding and critically appraising the development of machine-learning based applications that aid in very specific clinical tasks. This course will review and discuss selected machine-learning based applications in health science areas such as primary and acute care, chronic and ambulatory care, global health, genomics, and medical imaging. Basic knowledge about statistics and clinical research methodologies is desired for the course.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Click here for class schedule information.
Add to Portfolio(opens a new window)
|
