Practical Machine Learning and AI in Healthcare

1 Unit · Graduate

The use of machine learning and AI methods is having large and important impacts on many aspects of health care. They are being used to improve clinical care, to discover new drugs, to design new devices, to support clinical decision-making, and to improve operational efficiency. Students in this course do hands on work using R and Python to solve prediction problems using statistical methods, deep learning models, and large language models. This course emphasizes reproducibility of results, predictive accuracy and precision, using structured and unstructured healthcare data, multimodal data, and workflow management. Students complete four main applied projects and participate in online discussions that ask them to do research, to complete tasks, and discuss their findings. Required reading is minimized as much as possible. Suggested additional content is provided throughout the course.