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Predicting the evolution of COVID-19 mortality risk: A Recurrent Neural Network approach
BACKGROUND: In December 2020, the COVID-19 disease was confirmed in 1,665,775 patients and caused 45,784 deaths in Spain. At that time, health decision support systems were identified as crucial against the pandemic. METHODS: This study applies Deep Learning techniques for mortality prediction of CO...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Authors. Published by Elsevier B.V.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798667/ https://www.ncbi.nlm.nih.gov/pubmed/36593771 http://dx.doi.org/10.1016/j.cmpbup.2022.100089 |