Improvement of electrocardiographic diagnostic accuracy of left ventricular hypertrophy using a Machine Learning approach

Fernando De la Garza-Salazar, Maria Elena Romero-Ibarguengoitia, Elias Abraham Rodriguez-Diaz, Jose Ramón Azpiri-Lopez and Arnulfo González-Cantu

PLOS ONE, 2020, vol. 15, issue 5, 1-14

Abstract: The electrocardiogram (ECG) is the most common tool used to predict left ventricular hypertrophy (LVH). However, it is limited by its low accuracy (

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0232657

DOI: 10.1371/journal.pone.0232657

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