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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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