Development and implementation of a machine learning-based tool for predicting in-hospital adverse events in coronary heart disease
The Random Forest model demonstrated moderate discrimination for predicting in-hospital adverse events in CHD patients undergoing cardiac surgery and the developed web application provides real-time risk assessment with model interpretability features, enabling clinicians to input patient data and obtain immediate, cal...