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...

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Detalles Bibliográficos
Autores principales: Agliari, Elena, Barra, Adriano, Barra, Orazio Antonio, Fachechi, Alberto, Franceschi Vento, Lorenzo, Moretti, Luciano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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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