Machine learning techniques for independent gait recovery prediction in acute anterior circulation ischemic stroke
The RSF model demonstrated superior performance to the COX regression model in predicting gait recovery, offering a reliable tool for clinical decision-making regarding stroke patients' prognoses.
Authors
- Jiangping Ma (ORCID: https://orcid.org/0000-0001-8280-4798)
- Yuanjie Xie (ORCID: https://orcid.org/0000-0003-3223-1797)
Institutions
- Tongji University (CN)
- Shanghai Jiao Tong University (CN)
- Tongren Hospital (CN)
- Shanghai Tenth People's Hospital (CN)
- Sichuan Normal University (CN)
Publication Details
- Journal
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1186/s12984-025-01548-5
- Citations
- 3
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 3.08
Funders
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality