Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery

ConclusionsMachine learning algorithms such as XGBoost have promise in predictive analytics in cardiac surgery. The modest improvements in model performance demonstrated in the current study warrant further validation in larger cohorts of patients.
Source: The Annals of Thoracic Surgery - Category: Cardiovascular & Thoracic Surgery Source Type: research