1 citations · 3 across the 9 of their papers we have counts for
4 papers · 1 filter
Early Warning Index for Patient Deteriorations in Hospitals
Dimitris Bertsimas, Yu Ma, Kimberly Villalobos Carballo +5
Hospitals lack automated systems to harness the growing volume of heterogeneous clinical and operational data to effectively forecast critical events. Early identification of patie…
Towards Optimal Valve Prescription for Transcatheter Aortic Valve Replacement (TAVR) Surgery: A Machine Learning Approach
Phevos Paschalidis, Vasiliki Stoumpou, Lisa Everest +11
Transcatheter Aortic Valve Replacement (TAVR) has emerged as a prominent, minimally invasive treatment for patients with severe aortic stenosis, a life-threatening cardiovascular c…
From Data to Uncertainty Sets: a Machine Learning Approach
Dimitris Bertsimas, Benjamin Boucher
Existing approaches of prescriptive analytics -- where inputs of an optimization model can be predicted by leveraging covariates in a machine learning model -- often attempt to opt…
Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach
Dimitris Bertsimas, Cheol Woo Kim, José Niño-Mora
We present a novel machine learning framework for the optimal control of fluid restless multi-armed bandit problems (FRMABPs) with state equations that are either affine or quadrat…