Machine Learning-Based Prediction of in-Hospital Death for Patients with Takotsubo Syndrome: The InterTAK-ML Model

Abstract

A ML-based approach for the identification of TTS patients at risk of adverse short-term prognosis is feasible and effective. The InterTAK-ML model showed unprecedented discriminative capability for the prediction of in-hospital death.