Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values

Identification of those at greatest risk of death due to the substantial threat of COVID-19 can benefit from novel approaches to epidemiology that leverage large datasets and complex machine-learning models, provide data-driven intelligence, and guide decisions such as intensive-care unit admission...

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Detalles Bibliográficos
Autores principales: Cavallaro, Massimo, Moiz, Haseeb, Keeling, Matt J., McCarthy, Noel D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259985/
https://www.ncbi.nlm.nih.gov/pubmed/34161326
http://dx.doi.org/10.1371/journal.pcbi.1009121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259985/
https://www.ncbi.nlm.nih.gov/pubmed/34161326
http://dx.doi.org/10.1371/journal.pcbi.1009121

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