Time-Dependent ECG-AI Prediction of Fatal Coronary Heart Disease: A Retrospective Study

Time-Dependent ECG-AI Prediction of Fatal Coronary Heart Disease: A Retrospective Study

<b>Background</b>: Fatal coronary heart disease (FCHD) affects ~650,000 people yearly in the US. Electrocardiographic artificial intelligence (ECG-AI) models can predict adverse coronary events, yet their application to FCHD is understudied. <b>Objectives</b>: The study aimed...

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Bibliographic Details
Main Authors: Liam Butler, Alexander Ivanov, Turgay Celik, Ibrahim Karabayir, Lokesh Chinthala, Mohammad S. Tootooni, Byron C. Jaeger, Luke T. Patterson, Adam J. Doerr, David D. McManus, Robert L. Davis, David Herrington, Oguz Akbilgic
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Journal of Cardiovascular Development and Disease
Subjects:
fatal coronary heart disease
FCHD
ECG-AI
time-dependent risk
risk prediction
ECG-AI-Cox
Online Access:https://www.mdpi.com/2308-3425/11/12/395
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