Interpretable machine learning for depression symptom classification in NHANES: Performance in a curated high-confidence corpus and the full survey population.
- DOI
- 10.1016/j.ibneur.2026.08.009
- Published
- 2026 Dec
- Container
- IBRO neuroscience reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ibneur.2026.08.009,
title = {Interpretable machine learning for depression symptom classification in NHANES: Performance in a curated high-confidence corpus and the full survey population.},
author = {Salimi O and Ghahramani Z and Zenouz MT and Heidari M and Amini A and Nouroozi F and Fathi M and Tavasol A and Bateni MR},
year = {2026},
journal = {IBRO neuroscience reports},
doi = {10.1016/j.ibneur.2026.08.009},
url = {https://doi.org/10.1016/j.ibneur.2026.08.009}
}RIS
TY - JOUR TI - Interpretable machine learning for depression symptom classification in NHANES: Performance in a curated high-confidence corpus and the full survey population. AU - Salimi O AU - Ghahramani Z AU - Zenouz MT AU - Heidari M AU - Amini A AU - Nouroozi F AU - Fathi M AU - Tavasol A AU - Bateni MR PY - 2026 JO - IBRO neuroscience reports DO - 10.1016/j.ibneur.2026.08.009 UR - https://doi.org/10.1016/j.ibneur.2026.08.009 ER -
APA
O, S., Z, G., MT, Z., M, H., A, A., F, N., M, F., A, T., & MR, B. (2026). Interpretable machine learning for depression symptom classification in NHANES: Performance in a curated high-confidence corpus and the full survey population.. IBRO neuroscience reports. https://doi.org/10.1016/j.ibneur.2026.08.009
Source records
- pubmed · retrieved 2026-09-25T21:01:59.388Z