Machine learning—based classification of nonspecific neck pain using movement trajectories of scapular upward rotation
ML analysis of SUR trajectories demonstrates powerful predictive capabilities for identifying NSNP. The nonlinear relationships and interaction effects revealed through this analysis help explain previously conflicting findings in the literature and provide quantitative targets for clinical assessment and intervention.
Authors
- Ula Hwang (ORCID: https://orcid.org/0000-0002-3715-3073)
- Hwa-ik Yoo (ORCID: https://orcid.org/0000-0002-5848-9633)
- Yoon Ji Lee (ORCID: https://orcid.org/0000-0001-7295-5672)
- Il-kyu Ahn (ORCID: https://orcid.org/0000-0003-2859-6486)
- Ju-Hee Park (ORCID: https://orcid.org/0000-0002-0932-121X)
- S. Y. Han
- Ochae Kwon
- Ha-yeong Baek
Institutions
- Hong Kong Polytechnic University (HK)
- Yonsei University (KR)
- Kyungdong University (KR)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251407128
- Primary Topic
- Musculoskeletal pain and rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 0.00