Machine Learning and High-Risk Cardiac Surgery Risk Scoring
摘要
High-risk cardiac surgery risk scoring provides patients and surgeons tangible information to inform clinical decision making and allows for coherent patient and family discussion. These approaches are gaining in popularity due to their superb performance and discriminative ability. Herein, we describe common machine learning techniques employed to determine surgical risk in this unique patient population and examples of each method as applied to cardiac surgery.