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...

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Detalles Bibliográficos
Autores principales: Villegas, Marta, Gonzalez-Agirre, Aitor, Gutiérrez-Fandiño, Asier, Armengol-Estapé, Jordi, Carrino, Casimiro Pio, Pérez-Fernández, David, Soares, Felipe, Serrano, Pablo, Pedrera, Miguel, García, Noelia, Valencia, Alfonso
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2023
Materias:
Article
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

Internet

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

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