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Improvement of electrocardiographic diagnostic accuracy of left ventricular hypertrophy using a Machine Learning approach
The electrocardiogram (ECG) is the most common tool used to predict left ventricular hypertrophy (LVH). However, it is limited by its low accuracy (<60%) and sensitivity (30%). We set forth the hypothesis that the Machine Learning (ML) C5.0 algorithm could optimize the ECG in the prediction of LV...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7219774/ https://www.ncbi.nlm.nih.gov/pubmed/32401764 http://dx.doi.org/10.1371/journal.pone.0232657 |