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Development and external validation of an explainable machine learning model for identifying depressive symptoms in middle-aged and older adults with low haemoglobin: a prediction-model study.
Wang Q, He J, Ma S, Zhao J, Zong J, Ma D, Liu S, Zhang L, Qi X, Zhao D

Development and external validation of an explainable machine learning model for identifying depressive symptoms in middle-aged and older adults with low haemoglobin: a prediction-model study.

Medicine & Health Published 2026 Verification Pending

Overview & Synopsis

Open access biomedical research article published in Front Nutr.

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Indexed from repository: PubMed Central (pmc.ncbi.nlm.nih.gov)
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Document Title Development and external validation of an explainable machine learning model for identifying depressive symptoms in middle-aged and older adults with low haemoglobin: a prediction-model study.
Author / Organization Wang Q, He J, Ma S, Zhao J, Zong J, Ma D, Liu S, Zhang L, Qi X, Zhao D
Subject & Discipline Front Nutr
Categories Medicine & Health
Publication Year 2026
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website PubMed Central (pmc.ncbi.nlm.nih.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-33324
Original Source Link Visit Source Page on pmc.ncbi.nlm.nih.gov »