Improvement of electrocardiographic diagnostic accuracy of left ventricular hypertrophy using a Machine Learning approach-Reference-Cited by-同舟云学术

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

Published:2020-05-13 Issue:5 Volume:15 Page:e0232657
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

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

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference29 articles.

1. AHA/ACCF/HRS recommendations for the standardization and interpretation of the electrocardiogram;EW Hancock;Circulation,2009

2. The ventricular complex in left ventricular hypertrophy as obtained by unipolar precordial and limb leads;M Sokolow;Am Heart J,1949

3. Electrocardiographic detection of left ventricular hypertrophy: development and prospective validation of improved criteria;PN Casale;J Am Coll Cardiol,1985

4. A point-score system for the ECG diagnosis of left ventricular hypertrophy;DW Romhilt;Am Heart J,1968

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3. Electrocardiogram Interpretation Using Artificial Intelligence: Diagnosis of Cardiac and Extracardiac Pathologic Conditions. How Far Has Machine Learning Reached?;Current Problems in Cardiology;2024-01

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