Machine Learning for Health Economics and Outcomes Research
Sherri Rose, PhD
Seminar date: 10/14/2020
Description: Abstract: Health care research is moving toward analytic systems that take large health databases and estimate varying quantities of interest both quickly and robustly, incorporating advances from statistics, econometrics, and computer science. This seminar will discuss specific challenges related to developing and deploying statistical machine learning algorithms for health economics and outcomes research, including examples from the areas of health plan payment, mental health, and medical devices.
Target Audience: Researchers interested in learning about the potential of machine learning for health economics and outcomes research; no prior machine learning background required.