Weight-to-waist circumference index enhances interpretable machine learning models for screening depressive symptoms in middle-aged and elderly adults comorbid with hypertension and diabetes.
- DOI
- 10.20960/nh.06815
- Published
- 2026 Aug 7
- Container
- Nutricion hospitalaria
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.20960/nh.06815,
title = {Weight-to-waist circumference index enhances interpretable machine learning models for screening depressive symptoms in middle-aged and elderly adults comorbid with hypertension and diabetes.},
author = {Xu D and Jiang L and Yang Q},
year = {2026},
journal = {Nutricion hospitalaria},
doi = {10.20960/nh.06815},
url = {https://doi.org/10.20960/nh.06815}
}RIS
TY - JOUR TI - Weight-to-waist circumference index enhances interpretable machine learning models for screening depressive symptoms in middle-aged and elderly adults comorbid with hypertension and diabetes. AU - Xu D AU - Jiang L AU - Yang Q PY - 2026 JO - Nutricion hospitalaria DO - 10.20960/nh.06815 UR - https://doi.org/10.20960/nh.06815 ER -
APA
D, X., L, J., & Q, Y. (2026). Weight-to-waist circumference index enhances interpretable machine learning models for screening depressive symptoms in middle-aged and elderly adults comorbid with hypertension and diabetes.. Nutricion hospitalaria. https://doi.org/10.20960/nh.06815
Source records
- pubmed · retrieved 2026-09-25T15:32:42.018Z
- europe-pmc · retrieved 2026-09-25T15:32:42.058Z