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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Enregistré dans:
Détails bibliographiques
Publié dans:Front Neurol
Auteurs principaux: Xia, Nengzhi, Chen, Jie, Zhan, Chenyi, Jia, Xiufen, Xiang, Yilan, Chen, Yongchun, Duan, Yuxia, Lan, Li, Lin, Boli, Chen, Chao, Zhao, Bing, Chen, Xiaoyu, Yang, Yunjun, Liu, Jinjin
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2020
Sujets:
Neurology
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7658443/
https://ncbi.nlm.nih.gov/pubmed/33192969
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fneur.2020.538052
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