Predicting 6-Month Unfavorable Outcome of Acute Ischemic Stroke Using Machine Learning

Predicting 6-Month Unfavorable Outcome of Acute Ischemic Stroke Using Machine Learning

Background and Purpose: Accurate prediction of functional outcome after stroke would provide evidence for reasonable post-stroke management. This study aimed to develop a machine learning-based prediction model for 6-month unfavorable functional outcome in Chinese acute ischemic stroke (AIS) patient...

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Bibliographic Details
Main Authors: Xiang Li, XiDing Pan, ChunLian Jiang, MingRu Wu, YuKai Liu, FuSang Wang, XiaoHan Zheng, Jie Yang, Chao Sun, YuBing Zhu, JunShan Zhou, ShiHao Wang, Zheng Zhao, JianJun Zou
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Neurology
Subjects:
cerebral ischemia
machine learning
prediction
unfavorable outcome
stroke
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2020.539509/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2020.539509/full

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