| Development and validation of an optimized prediction of mortality for candidates awaiting liver transplantation D Bertsimas, J Kung, N Trichakis, Y Wang, R Hirose, PA Vagefi American Journal of Transplantation 19 (4), 1109-1118, 2019 | 126 | 2019 |
| Comparison of machine learning optimal classification trees with the pediatric emergency care applied research network head trauma decision rules D Bertsimas, J Dunn, DW Steele, TA Trikalinos, Y Wang JAMA pediatrics 173 (7), 648-656, 2019 | 44 | 2019 |
| Balancing efficiency and fairness in liver transplant access: tradeoff curves for the assessment of organ distribution policies D Bertsimas, T Papalexopoulos, N Trichakis, Y Wang, R Hirose, ... Transplantation 104 (5), 981-987, 2020 | 43 | 2020 |
| Near-optimal nonlinear regression trees D Bertsimas, J Dunn, Y Wang Operations Research Letters 49 (2), 201-206, 2021 | 28 | 2021 |
| Global oil export destination prediction: a machine learning approach H Jia, R Adland, Y Wang The Energy Journal 42 (4), 111-130, 2021 | 8 | 2021 |
| Interpretable machine learning methods with applications to health care Y Wang Massachusetts Institute of Technology, 2020 | 2 | 2020 |
| The Rise and Fall of MELD: Are We Ready for an Optimized Prediction of Mortality (OPOM) for Liver Transplant Allocation? D Bertsimas, J Kung, N Trichakis, Y Wang, R Hirose, P Vagefi AMERICAN JOURNAL OF TRANSPLANTATION 19, 15-16, 2019 | | 2019 |
Dimitris BertsimasBoeing Professor of Operations Research, MITVerified email at mit.edu