Clinical study of a big data model for predicting the prognosis of patients with aneurysmal subarachnoid hemorrhage after aneurysm clipping: model development and evaluation

Clinical study of a big data model for predicting the prognosis of patients with aneurysmal subarachnoid hemorrhage after aneurysm clipping: model development and evaluation

Objective To explore the risk factors for the prognosis of patients with aneurysmal subarachnoid hemorrhage (aSAH) after clipping, and to construct a predictive model based on machine learning algorithms to guide early identification of high risk patients. Methods A total of 182 patients with aSAH w...

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Bibliographic Details
Main Authors: YANG Chong, LI Xu⁃dong, LÜ Liang⁃fu, YUAN Heng⁃jie, ZHANG Yi
Format: Article
Language:English
Published: Tianjin Huanhu Hospital 2022-10-01
Series:Chinese Journal of Contemporary Neurology and Neurosurgery
Subjects:
intracranial aneurysm
subarachnoid hemorrhage
prognosis
artificial intelligence
algorithms
roc curve
Online Access:http://www.cjcnn.org/index.php/cjcnn/article/view/2572

Internet

http://www.cjcnn.org/index.php/cjcnn/article/view/2572

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