Machine Learning Prediction Models for Mechanically Ventilated Patients: Analyses of the MIMIC-III Database

Machine Learning Prediction Models for Mechanically Ventilated Patients: Analyses of the MIMIC-III Database

Background: Mechanically ventilated patients in the intensive care unit (ICU) have high mortality rates. There are multiple prediction scores, such as the Simplified Acute Physiology Score II (SAPS II), Oxford Acute Severity of Illness Score (OASIS), and Sequential Organ Failure Assessment (SOFA), w...

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Bibliographic Details
Main Authors: Yibing Zhu, Jin Zhang, Guowei Wang, Renqi Yao, Chao Ren, Ge Chen, Xin Jin, Junyang Guo, Shi Liu, Hua Zheng, Yan Chen, Qianqian Guo, Lin Li, Bin Du, Xiuming Xi, Wei Li, Huibin Huang, Yang Li, Qian Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Medicine
Subjects:
prediction model
machine learning
mechanical ventilation
intensive care unit
death
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.662340/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.662340/full

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