Cross-national predictive correlates of depressive symptoms among middle-aged and older adults with chronic conditions: an explainable machine learning analysis.
- DOI
- 10.3389/fpsyt.2026.1901045
- Published
- 2026
- Container
- Frontiers in psychiatry
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fpsyt.2026.1901045,
title = {Cross-national predictive correlates of depressive symptoms among middle-aged and older adults with chronic conditions: an explainable machine learning analysis.},
author = {Guo X and Xing H and Li C and Wang D and Li X and Zhang X and Liu Y and She Y},
year = {2026},
journal = {Frontiers in psychiatry},
doi = {10.3389/fpsyt.2026.1901045},
url = {https://doi.org/10.3389/fpsyt.2026.1901045}
}RIS
TY - JOUR TI - Cross-national predictive correlates of depressive symptoms among middle-aged and older adults with chronic conditions: an explainable machine learning analysis. AU - Guo X AU - Xing H AU - Li C AU - Wang D AU - Li X AU - Zhang X AU - Liu Y AU - She Y PY - 2026 JO - Frontiers in psychiatry DO - 10.3389/fpsyt.2026.1901045 UR - https://doi.org/10.3389/fpsyt.2026.1901045 ER -
APA
X, G., H, X., C, L., D, W., X, L., X, Z., Y, L., & Y, S. (2026). Cross-national predictive correlates of depressive symptoms among middle-aged and older adults with chronic conditions: an explainable machine learning analysis.. Frontiers in psychiatry. https://doi.org/10.3389/fpsyt.2026.1901045
Source records
- pubmed · retrieved 2026-09-27T10:11:22.311Z