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Open Access

Peer-reviewed

Research Article

Exploration of comorbidity mechanisms between chronic pain and depression: Machine learning prediction models and SHAP interpretability analysis based on the CHARLS cohort

Tao-Ming Dai,

Roles Data curation, Formal analysis, Software, Writing – original draft

Affiliations Affiliated Hospital 6 of Nantong University, Yancheng, China, Yancheng Third People’s Hospital, the affiliated hospital of Jiangsu Medical College, Yancheng, China
⨯
Jie Yuan,

Roles Data curation, Formal analysis, Software

Affiliation Yancheng Vocational College of Industry, Yancheng, China
⨯
Yue-Yang Ma,

Roles Formal analysis, Resources, Software, Visualization

Affiliations Affiliated Hospital 6 of Nantong University, Yancheng, China, Yancheng Third People’s Hospital, the affiliated hospital of Jiangsu Medical College, Yancheng, China
⨯
Jun-Jun Liu

Roles Funding acquisition, Writing – review & editing

* E-mail: ycsdsrmyyybc@163.com

Affiliations Affiliated Hospital 6 of Nantong University, Yancheng, China, Yancheng Third People’s Hospital, the affiliated hospital of Jiangsu Medical College, Yancheng, China

https://orcid.org/0009-0004-8324-850X

⨯

Exploration of comorbidity mechanisms between chronic pain and depression: Machine learning prediction models and SHAP interpretability analysis based on the CHARLS cohort

Tao-Ming Dai,
Jie Yuan,
Yue-Yang Ma,
Jun-Jun Liu

x

Published: June 8, 2026
https://doi.org/10.1371/journal.pone.0349135

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Medical risk factors
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Machine learning
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Lower back pain
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Support vector machines
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Educational attainment
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