Support vector machine based conformal predictors for risk of complications following a coronary drug eluting stent procedure

Vineeth N Balasubramanian R Gouripeddi Sethuraman Panchanathan J Vermillion A Bhaskaran RM Siegel
Abstract: Drug Eluting Stents (DES) have distinct advantages over other Percutaneous Coronary Intervention procedures, but have been associated with the development of serious complications after the procedure. There is a growing need for understanding the risk of these complications, which has led to the development of statistical risk evaluation models. Conformal Predictors are a recently developed set of machine learning algorithms that allow not just risk classification on new patients, but add valid measures of confidence ...