Machine learning derived ECG risk score improves cardiovascular risk assessment in conjunction with coronary artery calcium scoring

Machine learning derived ECG risk score improves cardiovascular risk assessment in conjunction with coronary artery calcium scoring

BackgroundPrecision estimation of cardiovascular risk remains the cornerstone of atherosclerotic cardiovascular disease (ASCVD) prevention. While coronary artery calcium (CAC) scoring is the best available non-invasive quantitative modality to evaluate risk of ASCVD, it excludes risk related to prio...

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Bibliographic Details
Main Authors: Shruti Siva Kumar, Sadeer Al-Kindi, Nour Tashtish, Varun Rajagopalan, Pingfu Fu, Sanjay Rajagopalan, Anant Madabhushi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
machine learning
artificial intelligence
atherosclerotic cardiovascular diseases (ASCVD)
electrocardiogram (ECG)
risk assessment/classification
nomogram
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.976769/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.976769/full

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