Interpretable recurrent neural network models for dynamic prediction of the extubation failure risk in patients with invasive mechanical ventilation in the intensive care unit

BACKGROUND: Clinical decision of extubation is a challenge in the treatment of patient with invasive mechanical ventilation (IMV), since existing extubation protocols are not capable of precisely predicting extubation failure (EF). This study aims to develop and validate interpretable recurrent neur...

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Detalles Bibliográficos
Autores principales: Zeng, Zhixuan, Tang, Xianming, Liu, Yang, He, Zhengkun, Gong, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513908/
https://www.ncbi.nlm.nih.gov/pubmed/36163063
http://dx.doi.org/10.1186/s13040-022-00309-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513908/
https://www.ncbi.nlm.nih.gov/pubmed/36163063
http://dx.doi.org/10.1186/s13040-022-00309-7

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