Exploration of comorbidity mechanisms between chronic pain and depression: Machine learning prediction models and SHAP interpretability analysis based on the CHARLS cohort.
- DOI
- 10.1371/journal.pone.0349135
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0349135,
title = {Exploration of comorbidity mechanisms between chronic pain and depression: Machine learning prediction models and SHAP interpretability analysis based on the CHARLS cohort.},
author = {Dai TM and Yuan J and Ma YY and Liu JJ},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0349135},
url = {https://doi.org/10.1371/journal.pone.0349135}
}RIS
TY - JOUR TI - Exploration of comorbidity mechanisms between chronic pain and depression: Machine learning prediction models and SHAP interpretability analysis based on the CHARLS cohort. AU - Dai TM AU - Yuan J AU - Ma YY AU - Liu JJ PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0349135 UR - https://doi.org/10.1371/journal.pone.0349135 ER -
APA
TM, D., J, Y., YY, M., & JJ, L. (2026). Exploration of comorbidity mechanisms between chronic pain and depression: Machine learning prediction models and SHAP interpretability analysis based on the CHARLS cohort.. PloS one. https://doi.org/10.1371/journal.pone.0349135
Source records
- pubmed · retrieved 2026-09-26T15:54:07.783Z