Early prediction of noninvasive ventilation failure after extubation: development and validation of a machine-learning model

BACKGROUND: Noninvasive ventilation (NIV) has been widely used in critically ill patients after extubation. However, NIV failure is associated with poor outcomes. This study aimed to determine early predictors of NIV failure and to construct an accurate machine-learning model to identify patients at...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Huan, Zhao, Qin-Yu, Luo, Jing-Chao, Liu, Kai, Yu, Shen-Ji, Ma, Jie-Fei, Luo, Ming-Hao, Hao, Guang-Wei, Su, Ying, Zhang, Yi-Jie, Tu, Guo-Wei, Luo, Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358918/
https://www.ncbi.nlm.nih.gov/pubmed/35941641
http://dx.doi.org/10.1186/s12890-022-02096-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358918/
https://www.ncbi.nlm.nih.gov/pubmed/35941641
http://dx.doi.org/10.1186/s12890-022-02096-7

Ejemplares similares