Deep learning prediction of likelihood of ICU admission and mortality in COVID-19 patients using clinical variables

BACKGROUND: This study aimed to develop a deep-learning model and a risk-score system using clinical variables to predict intensive care unit (ICU) admission and in-hospital mortality in COVID-19 patients. METHODS: This retrospective study consisted of 5,766 persons-under-investigation for COVID-19...

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Detalles Bibliográficos
Autores principales: Li, Xiaoran, Ge, Peilin, Zhu, Jocelyn, Li, Haifang, Graham, James, Singer, Adam, Richman, Paul S., Duong, Tim Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7651477/
https://www.ncbi.nlm.nih.gov/pubmed/33194455
http://dx.doi.org/10.7717/peerj.10337

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7651477/
https://www.ncbi.nlm.nih.gov/pubmed/33194455
http://dx.doi.org/10.7717/peerj.10337

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