Development and validation of a machine-learning model for prediction of hypoxemia after extubation in intensive care units

BACKGROUND: Extubation is the process of removing tracheal tubes so that patients maintain oxygenation while they start to breathe spontaneously. However, hypoxemia after extubation is an important issue for critical care doctors and is associated with patients’ oxygenation, circulation, recovery, a...

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Detalles Bibliográficos
Autores principales: Xia, Ming, Jin, Chenyu, Cao, Shuang, Pei, Bei, Wang, Jie, Xu, Tianyi, Jiang, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201189/
https://www.ncbi.nlm.nih.gov/pubmed/35722375
http://dx.doi.org/10.21037/atm-22-2118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201189/
https://www.ncbi.nlm.nih.gov/pubmed/35722375
http://dx.doi.org/10.21037/atm-22-2118

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