Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach

no code implementations • 18 Oct 2019 • Dimitris Bertsimas, Agni Orfanoudaki, Rory B. Weiner

We are able to estimate with average R squared = 0. 801 the time from diagnosis to a potential adverse event (TAE) and gain accurate approximations of the counterfactual treatment effects.

BIG-bench Machine Learning counterfactual +1