Latent pain class identification, longitudinal transitions, and machine learning prediction of incident low back pain in middle-aged and older Chinese adults.
- DOI
- 10.1186/s12911-026-03460-x
- Published
- 2026 Apr 6
- Container
- BMC medical informatics and decision making
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03460-x,
title = {Latent pain class identification, longitudinal transitions, and machine learning prediction of incident low back pain in middle-aged and older Chinese adults.},
author = {Liu J and Zhao Z and Li S and Liu X and Xu S and Lu B and Meng X},
year = {2026},
journal = {BMC medical informatics and decision making},
doi = {10.1186/s12911-026-03460-x},
url = {https://doi.org/10.1186/s12911-026-03460-x}
}RIS
TY - JOUR TI - Latent pain class identification, longitudinal transitions, and machine learning prediction of incident low back pain in middle-aged and older Chinese adults. AU - Liu J AU - Zhao Z AU - Li S AU - Liu X AU - Xu S AU - Lu B AU - Meng X PY - 2026 JO - BMC medical informatics and decision making DO - 10.1186/s12911-026-03460-x UR - https://doi.org/10.1186/s12911-026-03460-x ER -
APA
J, L., Z, Z., S, L., X, L., S, X., B, L., & X, M. (2026). Latent pain class identification, longitudinal transitions, and machine learning prediction of incident low back pain in middle-aged and older Chinese adults.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-026-03460-x
Source records
- pubmed · retrieved 2026-09-25T07:50:35.423Z