Development and implementation of a machine learning-based tool for predicting in-hospital adverse events in coronary heart disease
Coronary Heart Disease (CHD) is a leading cause of mortality worldwide. In-hospital adverse events remain a critical challenge affecting patient outcomes. Early identification of high-risk patients using predictive models could improve clinical outcomes. To develop and validate a machine learning-based pre...