Development and external validation of an interpretable machine learning model for obesity-depression comorbidity in Korean and US adults.

Shangguan Y, Lin Z, Sim YJ, Wu K, Chu Y, Huang K, Chen F, Ji K, Chen F, Liu S

DOI: 10.3389/ijph.2026.1609153
Published: 2026
Container: International journal of public health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/ijph.2026.1609153,
  title = {Development and external validation of an interpretable machine learning model for obesity-depression comorbidity in Korean and US adults.},
  author = {Shangguan Y and Lin Z and Sim YJ and Wu K and Chu Y and Huang K and Chen F and Ji K and Chen F and Liu S},
  year = {2026},
  journal = {International journal of public health},
  doi = {10.3389/ijph.2026.1609153},
  url = {https://doi.org/10.3389/ijph.2026.1609153}
}

RIS

TY  - JOUR
TI  - Development and external validation of an interpretable machine learning model for obesity-depression comorbidity in Korean and US adults.
AU  - Shangguan Y
AU  - Lin Z
AU  - Sim YJ
AU  - Wu K
AU  - Chu Y
AU  - Huang K
AU  - Chen F
AU  - Ji K
AU  - Chen F
AU  - Liu S
PY  - 2026
JO  - International journal of public health
DO  - 10.3389/ijph.2026.1609153
UR  - https://doi.org/10.3389/ijph.2026.1609153
ER  -

APA

Y, S., Z, L., YJ, S., K, W., Y, C., K, H., F, C., K, J., F, C., & S, L. (2026). Development and external validation of an interpretable machine learning model for obesity-depression comorbidity in Korean and US adults.. International journal of public health. https://doi.org/10.3389/ijph.2026.1609153

Source records

pubmed · retrieved 2026-09-27T01:38:35.840Z