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...
Main Authors: | Gen-Min Lin, Huan-Chang Zeng |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9490238/ |
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