Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning

Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning

ObjectiveNIHSS for stroke is widely used in clinical, but it is complex and subjective. The purpose of the study is to present a quantitative evaluation method of stroke association based on multi-dimensional gait parameters by using machine learning.Methods39 ischemic stroke patients with hemiplegi...

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Bibliographic Details
Main Authors: Cheng Wang, Zhou Long, Xiang-Dong Wang, You-Qi Kong, Li-Chun Zhou, Wei-Hua Jia, Pei Li, Jing Wang, Xiao-Juan Wang, Tian Tian
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Neuroinformatics
Subjects:
quantitative evaluation
gait parameters
stroke
NIHSS
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2025.1544372/full
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