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Atrial fibrillation classification based on convolutional neural networks
BACKGROUND: The global age-adjusted mortality rate related to atrial fibrillation (AF) registered a rapid growth in the last four decades, i.e., from 0.8 to 1.6 and 0.9 to 1.7 per 100,000 for men and women during 1990–2010, respectively. In this context, this study uses convolutional neural networks...
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| Publicado no: | BMC Med Inform Decis Mak |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6819477/ https://ncbi.nlm.nih.gov/pubmed/31664990 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0946-1 |
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