Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department

Abstract

Dimensionality reduction models showed marginal value in improving the prediction of 30-day MACE for ED chest pain patients. Moreover, they are black box models, making them difficult to explain and interpret in clinical practice.