Design of an artificial neural network to predict mortality among COVID-19 patients

INTRODUCTION: The fast pandemic of coronavirus disease 2019 (COVID-19) has challenged clinicians with many uncertainties and ambiguities regarding disease outcomes and complications. To deal with these uncertainties, our study aimed to develop and evaluate several artificial neural networks (ANNs) t...

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Detalles Bibliográficos
Autores principales: Shanbehzadeh, Mostafa, Nopour, Raoof, Kazemi-Arpanahi, Hadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148440/
https://www.ncbi.nlm.nih.gov/pubmed/35664686
http://dx.doi.org/10.1016/j.imu.2022.100983

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148440/
https://www.ncbi.nlm.nih.gov/pubmed/35664686
http://dx.doi.org/10.1016/j.imu.2022.100983

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