"Length-of-stay and Mortality Prediction for a Major Hospital Through Interpretable Machine Learning."

Bertsimas, Dimitris, Jean Pauphilet, Jennifer Stevens, and Manu Tandon. Manufacturing and Service Operations Management. Forthcoming.

"Predicting Inpatient Flow at a Major Hospital Using Interpretable Analytics."

Bertsimas, Dimitris, Jean Pauphilet, Jennifer Stevens, and Manu Tandon. Manufacturing and Service Operations Management. Forthcoming. Download Paper. Supplemental Material.

"Reshaping National Organ Allocation Policy."

Papalexopoulos, Theodore, James Alcorn, Dimitris Bertsimas, Rebecca Goff, Darren Stewart, and Nikolaos Trichakis. Operations Research. Forthcoming.

"Validation of the Artificial Intelligence–based Trauma Outcomes Predictor (TOP) in Patients 65 Years and Older."

Hechi, Majed El , Anthony Gebran, Hamza Tazi Bouardi, Lydia R. Maurer, Mohamad El Moheb, Daisy Zhuo, Jack Dunn, Dimitris Bertsimas, George C. Velmahos, and Haytham M.A. Kaafarani. Surgery. Forthcoming.

"Use of Artificial Intelligence for Nonlinear Benchmarking of Surgical Care."

Dorken-Gallastegi, Ander, Majed El Hechi, Maxime Amram, Leon Naar, Lydia R. Maurer, Anthony Gebran, Jack Dunn, Daisy Zhuo, Jordan Levine, Dimitris Bertsimas, and Haytham Kaafarani. Surgery Vol. 174, No. 6 (2023): 1302-1308.

"Applying Analytics to Design Lung Transplant Allocation Policy."

Papalexopoulos, Theodore, James Alcorn, Dimitris Bertsimas, Rebecca Goff, Darren Stewart, and Nikolaos Trichakis. INFORMS Journal on Applied Analytics Vol. 53, No. 5 (2023): 350-358.

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