| Dissecting racial bias in an algorithm used to manage the health of populations Z Obermeyer, B Powers, C Vogeli, S Mullainathan Science 366 (6464), 447-453, 2019 | 4993 | 2019 |
| Predicting the future—big data, machine learning, and clinical medicine Z Obermeyer, EJ Emanuel New England Journal of Medicine 375 (13), 1216-1219, 2016 | 3473 | 2016 |
| Coverage of cervical cancer screening in 57 countries: low average levels and large inequalities E Gakidou, S Nordhagen, Z Obermeyer PLoS medicine 5 (6), e132, 2008 | 856 | 2008 |
| Prediction policy problems J Kleinberg, J Ludwig, S Mullainathan, Z Obermeyer American Economic Review 105 (5), 491-495, 2015 | 806 | 2015 |
| Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist B Norgeot, G Quer, BK Beaulieu-Jones, A Torkamani, R Dias, ... Nature medicine 26 (9), 1320-1324, 2020 | 429 | 2020 |
| Contributions of risk factors and medical care to cardiovascular mortality trends M Ezzati, Z Obermeyer, I Tzoulaki, BM Mayosi, P Elliott, DA Leon Nature Reviews Cardiology 12 (9), 508-530, 2015 | 391 | 2015 |
| Cause-specific risk of hospital admission related to extreme heat in older adults JF Bobb, Z Obermeyer, Y Wang, F Dominici Jama 312 (24), 2659-2667, 2014 | 338 | 2014 |
| Emergency care in 59 low-and middle-income countries: a systematic review Z Obermeyer, S Abujaber, M Makar, S Stoll, SR Kayden, LA Wallis, ... Bulletin of the World Health Organization 93, 577-586, 2015 | 325 | 2015 |
| Association between the Medicare hospice benefit and health care utilization and costs for patients with poor-prognosis cancer Z Obermeyer, M Makar, S Abujaber, F Dominici, S Block, DM Cutler Jama 312 (18), 1888-1896, 2014 | 317 | 2014 |
| Lost in thought: the limits of the human mind and the future of medicine Z Obermeyer, TH Lee The New England journal of medicine 377 (13), 1209, 2017 | 276 | 2017 |
| An algorithmic approach to reducing unexplained pain disparities in underserved populations E Pierson, DM Cutler, J Leskovec, S Mullainathan, Z Obermeyer Nature Medicine 27 (1), 136-140, 2021 | 245 | 2021 |
| Fifty years of violent war deaths from Vietnam to Bosnia: analysis of data from the world health survey programme Z Obermeyer, CJL Murray, E Gakidou Bmj 336 (7659), 1482-1486, 2008 | 240 | 2008 |
| Regulation of predictive analytics in medicine RB Parikh, Z Obermeyer, AS Navathe Science 363 (6429), 810-812, 2019 | 213 | 2019 |
| Diagnosing physician error: A machine learning approach to low-value health care S Mullainathan, Z Obermeyer The Quarterly Journal of Economics 137 (2), 679-727, 2022 | 209* | 2022 |
| Individual differences in normal body temperature: longitudinal big data analysis of patient records Z Obermeyer, JK Samra, S Mullainathan bmj 359, 2017 | 204 | 2017 |
| Does machine learning automate moral hazard and error? S Mullainathan, Z Obermeyer American Economic Review 107 (5), 476-480, 2017 | 181 | 2017 |
| Direct uncertainty prediction for medical second opinions JK Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Bobby Kleinberg ... International Conference on Machine Learning, 5281-5290, 2019 | 169* | 2019 |
| The algorithmic automation problem: Prediction, triage, and human effort M Raghu, K Blumer, G Corrado, J Kleinberg, Z Obermeyer, ... arXiv preprint arXiv:1903.12220, 2019 | 160 | 2019 |
| Predictive modeling of US health care spending in late life L Einav, A Finkelstein, S Mullainathan, Z Obermeyer Science 360 (6396), 1462-1465, 2018 | 160 | 2018 |
| Development and application of a machine learning approach to assess short-term mortality risk among patients with cancer starting chemotherapy AA Elfiky, MJ Pany, RB Parikh, Z Obermeyer JAMA network open 1 (3), e180926-e180926, 2018 | 156 | 2018 |
Sendhil MullainathanMITPotvrđena adresa e-pošte na mit.edu