Machine learning analysis of physical factors associated with low back pain in male high school soft tennis players: Emphasis on nondominant hip internal rotation.
- DOI
- 10.1016/j.jbmt.2026.05.020
- Published
- 2026 Jul
- Container
- Journal of bodywork and movement therapies
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jbmt.2026.05.020,
title = {Machine learning analysis of physical factors associated with low back pain in male high school soft tennis players: Emphasis on nondominant hip internal rotation.},
author = {Tanabe T and Sugano T and Watabu T and Mizuno K},
year = {2026},
journal = {Journal of bodywork and movement therapies},
doi = {10.1016/j.jbmt.2026.05.020},
url = {https://doi.org/10.1016/j.jbmt.2026.05.020}
}RIS
TY - JOUR TI - Machine learning analysis of physical factors associated with low back pain in male high school soft tennis players: Emphasis on nondominant hip internal rotation. AU - Tanabe T AU - Sugano T AU - Watabu T AU - Mizuno K PY - 2026 JO - Journal of bodywork and movement therapies DO - 10.1016/j.jbmt.2026.05.020 UR - https://doi.org/10.1016/j.jbmt.2026.05.020 ER -
APA
T, T., T, S., T, W., & K, M. (2026). Machine learning analysis of physical factors associated with low back pain in male high school soft tennis players: Emphasis on nondominant hip internal rotation.. Journal of bodywork and movement therapies. https://doi.org/10.1016/j.jbmt.2026.05.020
Source records
- pubmed · retrieved 2026-09-26T22:56:15.950Z