Machine learning techniques for independent gait recovery prediction in acute anterior circulation ischemic stroke.

Journal: Journal of neuroengineering and rehabilitation

PMID: 39891212

Abstract

OBJECTIVE: This study aimed to develop and validate a machine learning-based predictive model for gait recovery in patients with acute anterior circulation ischemic stroke.

Authors

Jiangping Ma

Department of Neurology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. 1240256078@qq.com.
Yuanjie Xie

Sichuan Normal University, Chengdu, China.

Keywords

Aged Female Gait Gait Disorders, Neurologic Humans Ischemic Stroke Machine Learning Male Middle Aged Prognosis Recovery of Function Stroke Rehabilitation

External Resources

View on PubMed Access via DOI PubMed (39891212)

Machine learning techniques for independent gait recovery prediction in acute anterior circulation ischemic stroke.

Abstract

Authors

Keywords

External Resources

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