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

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第一作者： Cheng,Wang

第一单位： Jinan Zhougke Ubiquitous-Intelligent Institute of Computing Technology, Jinan, China.;Shandong Academy of Intelligent Computing Technology, Shandong Institutes of Industrial Technology (SDIIT), Jinan, China.;Ningbo Institute of Information Technology Application CAS, Ningbo, China.

作者： Cheng,Wang ^[1] ; Zhou,Long ^[2] ; Xiang-Dong,Wang ^[3] ; You-Qi,Kong ^[4] ; Li-Chun,Zhou ^[4] ; Wei-Hua,Jia ^[5] ; Pei,Li ^[6] ; Jing,Wang ^[6] ; Xiao-Juan,Wang ^[6] ; Tian,Tian ^[6]

作者单位： Jinan Zhougke Ubiquitous-Intelligent Institute of Computing Technology, Jinan, China.;Shandong Academy of Intelligent Computing Technology, Shandong Institutes of Industrial Technology (SDIIT), Jinan, China.;Ningbo Institute of Information Technology Application CAS, Ningbo, China. ^[1] Jinan Zhougke Ubiquitous-Intelligent Institute of Computing Technology, Jinan, China.;Shandong Academy of Intelligent Computing Technology, Shandong Institutes of Industrial Technology (SDIIT), Jinan, China. ^[2] Bejing Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China.;Institute of Computing Technology (ICT) Chinese Academy of Sciences (CAS), Beijing, China. ^[3] Department of Neurology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China. ^[4] Department of Neurology, Beijing Shijingshan Hospital, Shijingshan Teaching Hospital of Capital Medical University, Beijing, China. ^[5] General Practice Department, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China. ^[6]

关键词 NIHSS gait parameters machine learning quantitative evaluation stroke

DOI 10.3389/fninf.2025.1544372

PMID 40012766

发布时间 2025-02-28

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