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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Frontiers in medicine Ročník 8; s. 814566
Hlavní autori:	Liu, Wanjun, Tao, Gan, Zhang, Yijun, Xiao, Wenyan, Zhang, Jin, Liu, Yu, Lu, Zongqing, Hua, Tianfeng, Yang, Min
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland Frontiers Media SA 18.01.2022 Frontiers Media S.A
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!