Defining predictors for successful mechanical ventilation weaning, using a data-mining process and artificial intelligence

Mechanical ventilation weaning within intensive care units (ICU) is a difficult process, while crucial when considering its impact on morbidity and mortality. Failed extubation and prolonged mechanical ventilation both carry a significant risk of adverse events. We aimed to determine predictive fact...

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Detalles Bibliográficos
Autores principales: Menguy, Juliette, De Longeaux, Kahaia, Bodenes, Laetitia, Hourmant, Baptiste, L’Her, Erwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665387/
https://www.ncbi.nlm.nih.gov/pubmed/37993526
http://dx.doi.org/10.1038/s41598-023-47452-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665387/
https://www.ncbi.nlm.nih.gov/pubmed/37993526
http://dx.doi.org/10.1038/s41598-023-47452-7

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