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Annals of Surgery|August 21, 2018
Surgical Risk Is Not Linear: Derivation and Validation of a Novel, User-friendly, and Machine-learning-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) CalculatorDimitris Bertsimas, Jack Dunn, George C Velmahos, et al.
Naval Research Logistics|April 12, 2024
Where to locate COVID-19 mass vaccination facilities?Dimitris Bertsimas, Vassilis Digalakis, Alexander Jacquillat, et al.
The Journal of Urology|December 8, 2020
Selecting Children with Vesicoureteral Reflux Who are Most Likely to Benefit from Antibiotic Prophylaxis: Application of Machine Learning to RIVURDimitris Bertsimas, Michael Li, Carlos Estrada, et al.
American Journal of Surgery|March 22, 2023
High-performance pediatric surgical risk calculator: A novel algorithm based on machine learning and pediatric NSQIP dataDimitris Bertsimas, Michael Li, Nova Zhang, et al.
JAMA Pediatrics|May 14, 2019
Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision RulesDimitris Bertsimas, Jack Dunn, Dale W Steele, et al.
Transplantation|October 24, 2019
Balancing Efficiency and Fairness in Liver Transplant Access: Tradeoff Curves for the Assessment of Organ Distribution PoliciesDimitris Bertsimas, Theodore Papalexopoulos, Nikolaos Trichakis, et al.
American Journal of Transplantation : Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons|November 10, 2018
Development and validation of an optimized prediction of mortality for candidates awaiting liver transplantationDimitris Bertsimas, Jerry Kung, Nikolaos Trichakis, et al.
Journal of Vascular Surgery. Venous and Lymphatic Disorders|May 2, 2025
An artificial intelligence interpretable tool to predict risk of deep vein thrombosis after endovenous thermal ablationAzadeh Tabari, Yu Ma, Jesus Alfonso, et al.
JCO Clinical Cancer Informatics|August 31, 2021
Prediction of Neutropenic Events in Chemotherapy Patients: A Machine Learning ApproachHolly Wiberg, Peter Yu, Pat Montanaro, et al.
Plos One|May 22, 2020
Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk scoreAgni Orfanoudaki, Emma Chesley, Christian Cadisch, et al.
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