Training and Validation of an ECG-Based Deep-Learning Model for Myocardial Infarction Subtypes

This is the official repository for the analysis "Training and validation of an ECG-based deep-learning model for myocardial infarction subtypes" by the MALBEC Team at the University Hospital Basel, Switzerland. This is the first 12-lead ECG-based deep learning model for the diagnosis of different subtypes of myocardial infarction (multi-label outcome). Prospective implementation of the model is needed to determine whether it can improve the diagnosis of myocardial infarction and patient care. Note: This repository only contains inference code and pre-trained weights. Training code can be made available upon reasonable request to the corresponding authors.