Development and validation of an early predictive model for hemiplegic shoulder pain: a comparative study of logistic regression, support vector machine, and random forest
The RF prediction model has a good predictive effect on HSP and has good clinical explainability. It can provide objective references for the early warning and stratified management of HSP.
Authors
- Jianqiu Gong
- Hao Wu (ORCID: https://orcid.org/0000-0001-7340-6536)
- Shanshan Gong
- Zhenfen Sima
- Qifeng Tong
- Yue Fei (ORCID: https://orcid.org/0009-0004-1202-3581)
- Qiang Wu
- Qidi Jiao
Institutions
- Shaoxing University (CN)
- First Hospital of Jiaxing (CN)
- The Third Affiliated Hospital of Zhejiang Chinese Medical University (CN)
- Shaoxing People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-06-18
- DOI
- https://doi.org/10.3389/fneur.2025.1612222
- Primary Topic
- Shoulder Injury and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00