Predicting the rupture status of small middle cerebral artery aneurysms using random forest modeling

Autor: Jiafeng Zhou, Nengzhi Xia, Qiong Li, Kuikui Zheng, Xiufen Jia, Hao Wang, Bing Zhao, Jinjin Liu, Yunjun Yang, Yongchun Chen
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Neurology, Vol 13 (2022)
Druh dokumentu: article
ISSN: 1664-2295
DOI: 10.3389/fneur.2022.921404
Popis: ObjectiveSmall intracranial aneurysms are increasingly being detected; however, a prediction model for their rupture is rare. Random forest modeling was used to predict the rupture status of small middle cerebral artery (MCA) aneurysms with morphological features.MethodsFrom January 2009 to June 2020, we retrospectively reviewed patients with small MCA aneurysms (
Databáze: Directory of Open Access Journals