Overview
This course teaches learners how to apply machine learning techniques to healthcare data, focusing on computational challenges in the field. The course covers topics such as chronic kidney disease, sepsis, surgery domain, transfer learning, postoperative prediction, and hidden Markov models. The teaching method involves lectures and practical examples. This course is intended for individuals interested in machine learning applications in the healthcare industry.
Syllabus
Introduction
Outline
Chronic Kidney Disease
Work
Sepsis
Results
Surgery domain
Transfer learning
Postoperative prediction
Hidden Markov model
Taught by
Simons Institute