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

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

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.

Bibliographic Details
Main Authors: Salah Al-Zaiti, Lucas Besomi, Zeineb Bouzid, Ziad Faramand, Stephanie Frisch, Christian Martin-Gill, Richard Gregg, Samir Saba, Clifton Callaway, Ervin Sejdić
Format: Article
Language:English
Published: Nature Publishing Group 2020-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-17804-2

Internet

https://doi.org/10.1038/s41467-020-17804-2

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