A Simple Weaning Model Based on Interpretable Machine Learning Algorithm for Patients With Sepsis: A Research of MIMIC-IV and eICU Databases

Invasive mechanical ventilation plays an important role in the prognosis of patients with sepsis. However, there are, currently, no tools specifically designed to assess weaning from invasive mechanical ventilation in patients with sepsis. The aim of our study was to develop a practical model to pre...

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Veröffentlicht in:	Frontiers in medicine Jg. 8; S. 814566
Hauptverfasser:	Liu, Wanjun, Tao, Gan, Zhang, Yijun, Xiao, Wenyan, Zhang, Jin, Liu, Yu, Lu, Zongqing, Hua, Tianfeng, Yang, Min
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media SA 18.01.2022 Frontiers Media S.A
Schlagworte:	Algorithms Antibiotics Blood Collaboration Comorbidity Creatinine Datasets Disease Heart rate Infections Intensive care invasive mechanical ventilation Medical prognosis Medicine Mortality Patient admissions Sepsis simple prediction model Success Variables Ventilators Weaning XGBoost simple prediction model invasive mechanical ventilation XGBoost sepsis weaning
ISSN:	2296-858X, 2296-858X
Online-Zugang:	Volltext
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