Fundamentals of Machine Learning for Healthcare

Machine learning and artificial intelligence have the potential for healthcare to be revolutionized and offer new opportunities. We won't be able fully realize the potential of these technologies if we don't have a basic understanding of machine learning and healthcare concepts.

This course will introduce you to the fundamental concepts and principles of machine learning in medicine, and healthcare. This course will cover machine learning methods, best practices in healthcare, metrics, best practice, design, build and evaluation of machine-learning applications in healthcare.

This course is for those with no engineering background in healthcare, drug policy development or data science. It will give them the skills to critically evaluate and use these technologies.

Geoffrey Angus co-authored

Mars Huang, Contributing editor
Jin Long
Shannon Crawford
Oge Marques

Stanford University School of Medicine has been accredited by the Accreditation Council for Continuing Medical Education (ACCME). It is now able to offer continuing medical education to doctors. For important information about 1) Date of initial release and Termination/expiration dates; 2) Accreditation Statements and Credit Designation statements; and 3) Disclosure of financial relations for all persons who are responsible for activity content.