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Detecting cardiac pathologies via machine learning on heart-rate variability time series and related markers
In this paper we develop statistical algorithms to infer possible cardiac pathologies, based on data collected from 24 h Holter recording over a sample of 2829 labelled patients; labels highlight whether a patient is suffering from cardiac pathologies. In the first part of the work we analyze statis...
Autores principales: | Agliari, Elena, Barra, Adriano, Barra, Orazio Antonio, Fachechi, Alberto, Franceschi Vento, Lorenzo, Moretti, Luciano |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264331/ https://www.ncbi.nlm.nih.gov/pubmed/32483156 http://dx.doi.org/10.1038/s41598-020-64083-4 |
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