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O. Salimi

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Review Open access Aug 2026

Interpretable machine learning for depression symptom classification in NHANES: Performance in a curated high-confidence corpus and the full survey population

Interpretable machine learning identified reproducible depressive-symptom patterns in NHANES, largely driven by sleep variables, however, modest precision and poor calibration preclude stand-alone clinical use without external validation and recalibration.

O. Salimi, Zahra Ghahramani, Mahsa Taghavi Zenouz et al. · 0 citations

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