Detection of abnormal left ventricular geometry in patients without cardiovascular disease through machine learning: An ECG‐based approach
Abstract Cardiac remodeling is recognized as an important aspect of cardiovascular disease (CVD) progression. Machine learning (ML) techniques were applied to basic clinical parameters and electrocardiographic features, in order to detect abnormal left ventricular geometry (LVG) even before the onse...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-05-01
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Series: | The Journal of Clinical Hypertension |
Subjects: | |
Online Access: | https://doi.org/10.1111/jch.14200 |