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Predicting anemia risk in Iranian adults without diagnostic blood indices: an interpretable machine learning approach integrating dietary, clinical, and non-diagnostic laboratory patterns

Crossref DOI link: https://doi.org/10.1038/s41598-026-72618-4

Published Online: 2026-09-23

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Pourmahmoudi, Azizollah

Malekzadeh, Janmohamad

Noormohammadi, Ali

Salehnasab, Cirruse https://orcid.org/0000-0002-5615-9307
Ghaderzadeh, Mustafa
License Information

Text and Data Mining valid from 2026-09-23

Accepted Manuscript valid from 2026-09-23
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Article History

Received: 16 July 2026

Accepted: 17 September 2026

First Online: 23 September 2026

Declarations

Competing interests: The authors declare no competing interests.

Ethics approval and informed consent: Written informed consent was obtained from all individual participants. The study protocol was approved by the Research Ethics Committee of Yasuj University of Medical Sciences (Ethics Code: IR.YUMS.REC.1402.007) and was conducted in accordance with the Declaration of Helsinki.

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