A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19

In hypoxemic patients at risk for developing respiratory failure, the decision to initiate invasive mechanical ventilation (IMV) may be extremely difficult, even more so among patients suffering from COVID-19. Delayed recognition of respiratory failure may translate into poor outcomes, emphasizing t...

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Detalles Bibliográficos
Autores principales: Bendavid, Itai, Statlender, Liran, Shvartser, Leonid, Teppler, Shmuel, Azullay, Roy, Sapir, Rotem, Singer, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216294/
https://www.ncbi.nlm.nih.gov/pubmed/35732690
http://dx.doi.org/10.1038/s41598-022-14758-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216294/
https://www.ncbi.nlm.nih.gov/pubmed/35732690
http://dx.doi.org/10.1038/s41598-022-14758-x

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