30 citations · 101 across the 13 of their papers we have counts for
6 papers · 1 filter
Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach
Dimitris Bertsimas, Agni Orfanoudaki, Rory B. Weiner
Current clinical practice guidelines for managing Coronary Artery Disease (CAD) account for general cardiovascular risk factors. However, they do not present a framework that consi…
From Predictions to Prescriptions in Multistage Optimization Problems
Dimitris Bertsimas, Christopher McCord
In this paper, we introduce a framework for solving finite-horizon multistage optimization problems under uncertainty in the presence of auxiliary data. We assume the joint distrib…
Scalable Holistic Linear Regression
Dimitris Bertsimas, Michael Lingzhi Li
We propose a new scalable algorithm for holistic linear regression building on Bertsimas & King (2016). Specifically, we develop new theory to model significance and multicollinear…
Interpretable Clustering via Optimal Trees
Dimitris Bertsimas, Agni Orfanoudaki, Holly Wiberg
State-of-the-art clustering algorithms use heuristics to partition the feature space and provide little insight into the rationale for cluster membership, limiting their interpreta…
Imputation of Clinical Covariates in Time Series
Dimitris Bertsimas, Agni Orfanoudaki, Colin Pawlowski
Missing data is a common problem in real-world settings and particularly relevant in healthcare applications where researchers use Electronic Health Records (EHR) and results of ob…
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
Dimitris Bertsimas, Christopher McCord
We consider the optimization of an uncertain objective over continuous and multi-dimensional decision spaces in problems in which we are only provided with observational data. We p…