Analysis of COVID-19 inpatients in France during first lockdown of 2020 using explainability methods

The COVID-19 pandemic rapidly puts a heavy pressure on hospital centers, especially on intensive care units. There was an urgent need for tools to understand typology of COVID-19 patients and identify those most at risk of aggravation during their hospital stay. Data included more than 400 patients...

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Detalles Bibliográficos
Autores principales: Excoffier, Jean-Baptiste, Salaün-Penquer, Noémie, Ortala, Matthieu, Raphaël-Rousseau, Mathilde, Chouaid, Christos, Jung, Camille
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009979/
https://www.ncbi.nlm.nih.gov/pubmed/35426076
http://dx.doi.org/10.1007/s11517-022-02540-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009979/
https://www.ncbi.nlm.nih.gov/pubmed/35426076
http://dx.doi.org/10.1007/s11517-022-02540-0

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