Development and validation of a quick screening tool for predicting neck pain patients benefiting from spinal manipulation: a machine learning study
Our machine learning model demonstrates robust performance in identifying suitable candidates for spinal manipulation among neck pain patients, offering clinicians an evidence-based practical tool to optimize patient selection and potentially improve treatment outcomes.
Authors
- Minshan Feng (ORCID: https://orcid.org/0000-0003-1130-3085)
- Guangyi Yang
- Changxiao Han (ORCID: https://orcid.org/0000-0002-2570-5723)
- Xunlu Yin (ORCID: https://orcid.org/0000-0002-3388-4215)
- Haibao Wen
- Ping Wang (ORCID: https://orcid.org/0000-0003-0286-4083)
- M. X. Fu (ORCID: https://orcid.org/0009-0000-1016-2589)
- Liguo Zhu (ORCID: https://orcid.org/0000-0002-1931-8647)
- Bochen Peng
- Bo Xu
Institutions
- Tianjin University of Traditional Chinese Medicine (CN)
- Beijing University of Chinese Medicine (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Wangjing Hospital of China Academy of Chinese Medical Sciences (CN)
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Chinese Medicine
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1186/s13020-025-01131-z
- Citations
- 2
- Primary Topic
- Musculoskeletal pain and rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 2.79
Funders
- Tianjin University