Prediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest Technique

Prediction of Clinical Outcome at Discharge After Rupture of Anterior Communicating Artery Aneurysm Using the Random Forest Technique

Background: Aneurysmal subarachnoid hemorrhage (SAH) is a devastating disease. Anterior communicating artery (ACoA) aneurysm is the most frequent location of intracranial aneurysms. The purpose of this study is to predict the clinical outcome at discharge after rupture of ACoA aneurysms using the ra...

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Bibliographic Details
Main Authors: Nengzhi Xia, Jie Chen, Chenyi Zhan, Xiufen Jia, Yilan Xiang, Yongchun Chen, Yuxia Duan, Li Lan, Boli Lin, Chao Chen, Bing Zhao, Xiaoyu Chen, Yunjun Yang, Jinjin Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Neurology
Subjects:
aneurysms
subarachnoid hemorrhage
random forest
prediction
outcome
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2020.538052/full

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https://www.frontiersin.org/articles/10.3389/fneur.2020.538052/full

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