The predictive value of pressure recording analytical method for the duration of mechanical ventilation in children undergoing cardiac surgery with an XGBoost-based machine learning model

The predictive value of pressure recording analytical method for the duration of mechanical ventilation in children undergoing cardiac surgery with an XGBoost-based machine learning model

ObjectiveProlonged mechanical ventilation in children undergoing cardiac surgery is related to the decrease in cardiac output. The pressure recording analytical method (PRAM) is a minimally invasive system for continuous hemodynamic monitoring. To evaluate the postoperative prognosis, our study expl...

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Bibliographic Details
Main Authors: Mingwei Li, Shuangxing Wang, Hui Zhang, Hongtao Zhang, Yongjie Wu, Bing Meng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
CHD
congenital heart disease
cardiac surgery
pressure recording analytical method
mechanical ventilation
machine learning model
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.1036340/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.1036340/full

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