Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram

Abstract

Diagnosing a heart attack requires excessive testing and prolonged observation, which frequently requires hospital admission. Here the authors report a machine learning-based system based exclusively on ECG data that can help clinicians identify 37% more heart attacks during initial screening.