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Demonstration of the potential of white-box machine learning approaches to gain insights from cardiovascular disease electrocardiograms
We present the results from a white-box machine learning approach to detect cardiac arrhythmias using electrocardiographic data. A C5.0 is trained to recognize four classes using common features. The four classes are (i) atrial fibrillation and atrial flutter, (ii) tachycardias (iii), sinus bradycar...
| 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/PMC7746264/ https://www.ncbi.nlm.nih.gov/pubmed/33332440 http://dx.doi.org/10.1371/journal.pone.0243615 |