Machine Learning in Health Care.
Position | Conferences |
An NBER conference on Machine Learning in Health Care took place June 4 in Cambridge. Research Associates David M. Cutler and Sendhil Mullainathan, both of Harvard University, and Ziad Obermeyer of Harvard Medical School organized the meeting. The conference was partially funded by a grant from the National Institute on Aging. These researchers' papers were presented and discussed:
* Sendhil Mullainathan and Ziad Obermeyer, "Are We Over-Testing? Using Machine Learning to Understand Doctors' Decisions"
* Susan Athey, Stanford University and NBER, "The Impact of Machine Learning on Economics" (Chapter in the forthcoming NBER book The Economics of Artificial Intelligence: An Agenda, Ajay K. Agrawal, Joshua Gans, and Avi Goldfarb, editors, from the University of Chicago Press)
* David C. Chan Jr, Stanford University and NBER, and Jonathan Gruber, MIT and NBER, "Triage Judgments in the Emergency Department"
* Justine S. Hastings, Brown University and NBER, and Mark...
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