Papers and Presentations


Predictive modeling of U.S. health care spending in late life

Liran Einav, Amy Finkelstein, Sendhil Mullainathan, Ziad Obermeyer
Science, vol. 360 (2018), pp. 1462-1465

Individual differences in normal body temperature: longitudinal big data analysis of patient records

Ziad Obermeyer, Jasmeet K. Samra, Sendhil Mullainathan
The British Medical Journal, vol. 359 (2017)

Lost in Thought — The Limits of the Human Mind and the Future of Medicine

Ziad Obermeyer, Thomas H. Lee
New England Journal of Medicine, vol. 377 (2017), pp. 1209-1211

A Machine Learning Approach to Predicting Short-Term Mortality Risk in Patients Starting Chemotherapy

Aymen A. Elfiky, Maximilian J. Pany, Ravi B. Parikh, Ziad Obermeyer
Under Review, Code

Does Machine Learning Automate Moral Hazard and Error?

Sendhil Mullainathan and Ziad Obermeyer
American Economic Review, vol. 107, no. 5 (2017)

Machine Learning: An Applied Econometric Approach

Sendhil Mullainathan and Jann Spiess
Journal of Economic Perspectives, vol. 31, no. 2 (2017)

Human Decisions and Machine Predictions

Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, Sendhil Mullainathan
The National Bureau of Economic Research, no. 23180 (2017)

Early death after discharge from emergency departments: analysis of national US insurance claims data

Ziad Obermeyer, Brent Cohn, Michael Wilson, Anupam B. Jena, David M. Cutler
The British Medical Journal, vol. 356 (2017)

Predicting the Future – Big Data, Machine Learning, and Clinical Medicine

Ziad Obermeyer, Ezekiel J. Emanuel
New England Journal of Medicine, vol. 375 (2016), pp. 1216-1219


If a Machine Could Predict Your Death, Should it?

Ziad Obermeyer
TEDx Boston, Boston, MA (2017)