Machine Learning in Health Care
Upload/update your conference materials
-
Tony Duan, Pranav Rajpurkar, Dillon Laird, Andrew Ng, Sanjay Basu
Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy: A Machine Learning Experiment to Estimate Treatment Effects from Randomized Trial Data -
Jason Abaluck, Leila Agha, David C. Chan Jr
Why Should Get Blood? Personalizing Medicine with Heterogeneous Treatment Effects -
David M. Cutler, Emma J. Pierson
Using Machine Learning to Explain Socioeconomic and Racial Gaps in Pain -
Michael A. Ribers, Hannes Ullrich
Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing? -
Hagai Rossman, Smadar Shilo
Childhood Obesity Prediction and Risk Factor Analysis from Nationwide Health Records -
Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, H. Andrew Schwartz
Using Search Queries to Understand Health Information Needs in Africa
Send questions to the NBER Conference Department (confer@nber.org).