Machine Learning-Based Model for Predicting Incidence and Severity of Acute Ischemic Stroke in Anterior Circulation Large Vessel Occlusion

Machine Learning-Based Model for Predicting Incidence and Severity of Acute Ischemic Stroke in Anterior Circulation Large Vessel Occlusion

Objectives: Patients with anterior circulation large vessel occlusion are at high risk of acute ischemic stroke, which could be disabling or fatal. In this study, we applied machine learning to develop and validate two prediction models for acute ischemic stroke (Model 1) and severity of neurologica...

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Bibliographic Details
Main Authors: Junzhao Cui, Jingyi Yang, Kun Zhang, Guodong Xu, Ruijie Zhao, Xipeng Li, Luji Liu, Yipu Zhu, Lixia Zhou, Ping Yu, Lei Xu, Tong Li, Jing Tian, Pandi Zhao, Si Yuan, Qisong Wang, Li Guo, Xiaoyun Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Neurology
Subjects:
anterior circulation large vessel occlusion
acute ischemic stroke
machine learning
prediction model
neurological impairment
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.749599/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2021.749599/full

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