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...
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: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2024.1341252/full |
Similar Items
-
Prognostic nomogram for predicting lower extremity deep venous thrombosis in ruptured intracranial aneurysm patients who underwent endovascular treatment
by: Chengwei Zhang, et al.
Published: (2023-08-01) -
Textbook Outcomes Among Patients with Aneurysmal Subarachnoid Hemorrhage Following Endovascular Treatment
by: Zisheng Liu, et al.
Published: (2024-01-01) -
Case Report: Rhabdomyolysis in aneurysmal subarachnoid hemorrhage: A rare case with implications for management
by: Gang Liao, et al.
Published: (2023-01-01) -
Learning from practice: Subarachnoid hemorrhage – causes and consequences
by: Cristina Tiu, et al.
Published: (2009-03-01) -
Development and external validation of a nomogram for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage
by: Xiao Jin, et al.
Published: (2023-09-01)