Development and performance assessment of novel machine learning models for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage patients: external validation in MIMIC-IV

Development and performance assessment of novel machine learning models for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage patients: external validation in MIMIC-IV

BackgroundPostoperative pneumonia (POP) is one of the primary complications after aneurysmal subarachnoid hemorrhage (aSAH) and is associated with postoperative mortality, extended hospital stay, and increased medical fee. Early identification of pneumonia and more aggressive treatment can improve p...

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Bibliographic Details
Main Authors: Xinbo Li, Chengwei Zhang, Jiale Wang, Chengxing Ye, Jiaqian Zhu, Qichuan Zhuge
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Neurology
Subjects:
aneurysmal subarachnoid hemorrhage
postoperative pneumonia
machine learning
endovascular treatment
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2024.1341252/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2024.1341252/full

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