Probabilistic analysis of COVID-19 patients’ individual length of stay in Swiss intensive care units

RATIONALE: The COVID-19 pandemic induces considerable strain on intensive care unit resources. OBJECTIVES: We aim to provide early predictions of individual patients’ intensive care unit length of stay, which might improve resource allocation and patient care during the on-going pandemic. METHODS: W...

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Detalles Bibliográficos
Autores principales: Henzi, Alexander, Kleger, Gian-Reto, Hilty, Matthias P., Wendel Garcia, Pedro D., Ziegel, Johanna F.
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/PMC7894868/
https://www.ncbi.nlm.nih.gov/pubmed/33606773
http://dx.doi.org/10.1371/journal.pone.0247265

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894868/
https://www.ncbi.nlm.nih.gov/pubmed/33606773
http://dx.doi.org/10.1371/journal.pone.0247265

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