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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...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7264331/ https://ncbi.nlm.nih.gov/pubmed/32483156 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-64083-4 |
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