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

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

Abstract 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 recurr...

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Bibliographic Details
Main Authors: Zhixuan Zeng, Xianming Tang, Yang Liu, Zhengkun He, Xun Gong
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BioData Mining
Subjects:
Extubation failure
Invasive mechanical ventilation
Recurrent neural network
Dynamic prediction
Time series
Shapley additive explanations value
Online Access:https://doi.org/10.1186/s13040-022-00309-7

Internet

https://doi.org/10.1186/s13040-022-00309-7

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