Prediction of Extubation Failure for Intensive Care Unit Patients Using Light Gradient Boosting Machine

Extubation failure is a complex and ongoing problem in the intensive care unit (ICU). It refers to the patients who require re-intubation after extubation (namely disconnection from mechanical ventilation). In these patients, extubation failure leads to severe risks associated with re-intubation and...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.150960-150968
Hauptverfasser:	Chen, Tingting, Xu, Jun, Ying, Haochao, Chen, Xiaojun, Feng, Ruiwei, Fang, Xueling, Gao, Honghao, Wu, Jian
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Blood Blood pressure Cost analysis Diseases Extubation failure prediction Failure analysis Feature extraction feature importance Intensive care Intubation Learning theory light gradient boosting machine Machine learning MIMICs Predictive models Regression analysis shapley additive explanations Support vector machines Ventilation
Online-Zugang:	Volltext
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