Machine Learning in Health Care
David M. Cutler, Sendhil Mullainathan, and Ziad Obermeyer, Organizers
May 10, 2019
NBER,2nd Floor Conference Room, 1050 Massachusetts Avenue, Cambridge, MA
| Friday, May 10 | ||
| 8:15 am | Shuttle van leaves Royal Sonesta Hotel for NBER | |
| 8:30 am | Continental Breakfast | |
| 9:00 am |
Jason Abaluck, Yale University and NBER Leila Agha, Harvard University and NBER David C. Chan Jr, Stanford University and NBER Why Should Get Blood? Personalizing Medicine with Heterogeneous Treatment Effects |
|
| 10:00 am |
Tony Duan, Stanford University Pranav Rajpurkar, Harvard University Dillon Laird, Stanford University Andrew Ng, Stanford University Sanjay Basu, Stanford University Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy: A Machine Learning Experiment to Estimate Treatment Effects from Randomized Trial Data |
|
| 11:00 am | Break | |
| 11:30 am |
Michael A. Ribers, University of Copenhagen Hannes Ullrich, DIW Berlin Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing? |
|
| 12:30 pm |
Emma J. Pierson, Cornell University David M. Cutler, Harvard University and NBER Jure Leskovec, Stanford University Sendhil Mullainathan, University of Chicago and NBER Ziad Obermeyer, University of California, Berkeley and NBER Using Machine Learning to Explain Socioeconomic and Racial Gaps in Pain |
|
| 1:30 pm | Lunch and Panel | |
| 3:00 pm |
Rediet Abebe, Cornell University Shawndra Hill, Columbia University Jennifer Wortman Vaughan, Microsoft Research Peter M. Small, Rockefeller Foundation H. Andrew Schwartz, Stony Brook University Using Search Queries to Understand Health Information Needs in Africa |
|
| 4:00 pm |
Hagai Rossman, Weizmann Institute of Science Smadar Shilo, Weizmann Institute of Science Childhood Obesity Prediction and Risk Factor Analysis from Nationwide Health Records |
|
| 5:00 pm | Adjourn | |
| FORMAT: 45 mins presenter, 15 mins questions | ||