Development and validation of an interpretable machine learning model for predicting medium-to-giant coronary aneurysms in Kawasaki disease
PurposeThis study aimed to develop and validate an interpretable machine learning (ML) model using routinely collected clinical data to predict medium-to-giant coronary artery aneurysms (MGCAA) early in Kawasaki disease (KD).MethodsThis retrospective study included 2,777 KD pati…