Explore the intersection of machine learning and healthcare in this comprehensive lecture by Katherine Heller from Duke University. Delve into computational challenges in machine learning applied to healthcare data, focusing on chronic kidney disease, sepsis, and surgical outcomes. Learn about transfer learning techniques and hidden Markov models used for postoperative prediction. Gain insights into the latest advancements in applying AI to improve patient care and medical decision-making processes.
Overview
Syllabus
Introduction
Outline
Chronic Kidney Disease
Work
Sepsis
Results
Surgery domain
Transfer learning
Postoperative prediction
Hidden Markov model
Taught by
Simons Institute
