COVID-19 mortality prediction using ensemble learning and grey wolf optimization

COVID-19 is now often moderate and self-recovering, but in a significant proportion of individuals, it is severe and deadly. Determining whether individuals are at high risk for serious disease or death is crucial for making appropriate treatment decisions. We propose a computational method to estim...

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Detalles Bibliográficos
Autores principales: Lou, Lihua, Xia, Weidong, Sun, Zhen, Quan, Shichao, Yin, Shaobo, Gao, Zhihong, Lin, Cai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280255/
https://www.ncbi.nlm.nih.gov/pubmed/37346682
http://dx.doi.org/10.7717/peerj-cs.1209

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280255/
https://www.ncbi.nlm.nih.gov/pubmed/37346682
http://dx.doi.org/10.7717/peerj-cs.1209

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