Electrocardiographic Machine Learning to Predict Mitral Valve Prolapse in Young Adults

Electrocardiographic Machine Learning to Predict Mitral Valve Prolapse in Young Adults

Mitral valve prolapse (MVP), known as balloon mitral valve, accounts for 2-4% of cases in the general population and is associated with several cardiac sequelae. A few studies have shown suboptimal results using electrocardiographic (ECG) machine learning to identify MVP in middle- or old...

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Bibliographic Details
Main Authors: Gen-Min Lin, Huan-Chang Zeng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Echocardiography
electrocardiography
machine learning
mitral valve prolapse
young adults
Online Access:https://ieeexplore.ieee.org/document/9490238/

Internet

https://ieeexplore.ieee.org/document/9490238/

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