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 | 99 | 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 | 37 | 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 | 35 | 2020 |
Near-optimal nonlinear regression trees D Bertsimas, J Dunn, Y Wang Operations Research Letters 49 (2), 201-206, 2021 | 23 | 2021 |
Global Oil Export Destination Prediction: A Machine Learning Approach. H Jia, R Adland, Y Wang Energy Journal 42 (4), 2021 | 6 | 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 |