Prediction and analysis of periprocedural complications associated with endovascular treatment for unruptured intracranial aneurysms using machine learning

Prediction and analysis of periprocedural complications associated with endovascular treatment for unruptured intracranial aneurysms using machine learning

BackgroundThe management of unruptured intracranial aneurysm (UIA) remains controversial. Recently, machine learning has been widely applied in the field of medicine. This study developed predictive models using machine learning to investigate periprocedural complications associated with endovascula...

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Bibliographic Details
Main Authors: Zhongbin Tian, Wenqiang Li, Xin Feng, Kaijian Sun, Chuanzhi Duan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Neurology
Subjects:
intracranial aneurysm
endovascular treatment
periprocedural complication
machine learning (ML)
feature importance analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.1027557/full

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https://www.frontiersin.org/articles/10.3389/fneur.2022.1027557/full

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