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Open Access

Retraction

Retraction: DiabetesXpertNet: An innovative attention-based CNN for accurate type 2 diabetes prediction

  • The PLOS One Editors

The PLOS One Editors retract this article [1] due to concerns about potential manipulation of the publication process. These concerns call into question the validity and provenance of the reported results. We regret that the issues were not identified prior to the article’s publication.

DJ and KA did not agree with the retraction. RF and RAI either did not respond directly or could not be reached.

Reference

  1. 1. Farnoosh R, Abnoosian K, Isewid RA, Javaheri D. RETRACTED: DiabetesXpertNet: An innovative attention-based CNN for accurate type 2 diabetes prediction. PLoS One. 2025;20(9):e0330454. pmid:41026707

Citation: The PLOS One Editors (2026) Retraction: DiabetesXpertNet: An innovative attention-based CNN for accurate type 2 diabetes prediction. PLoS One 21(4): e0345989. https://doi.org/10.1371/journal.pone.0345989

Published: April 14, 2026

Copyright: © 2026 The PLOS One Editors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.