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

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Title: DiabetesXpertNet: An innovative attention-based CNN for accurate type 2 diabetes prediction.
Authors: Farnoosh R; School of Mathematics and Computer Science, Iran University of Science and Technology, Narmak, Tehran, Iran., Abnoosian K; School of Mathematics and Computer Science, Iran University of Science and Technology, Narmak, Tehran, Iran., Isewid RA; School of Mathematics and Computer Science, Iran University of Science and Technology, Narmak, Tehran, Iran., Javaheri D; School of Computing, Engineering and Physical Sciences, University of the West Scotland, London Campus, United Kingdom.
Source: PloS one [PLoS One] 2025 Sep 30; Vol. 20 (9), pp. e0330454. Date of Electronic Publication: 2025 Sep 30 (Print Publication: 2025).
Publication Type: Journal Article; Retracted Publication
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: DiabetesXpertNet: An innovative attention-based CNN for accurate type 2 diabetes prediction.
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  Data: <searchLink fieldCode="AU" term="%22Farnoosh+R%22">Farnoosh R</searchLink>; School of Mathematics and Computer Science, Iran University of Science and Technology, Narmak, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Abnoosian+K%22">Abnoosian K</searchLink>; School of Mathematics and Computer Science, Iran University of Science and Technology, Narmak, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Isewid+RA%22">Isewid RA</searchLink>; School of Mathematics and Computer Science, Iran University of Science and Technology, Narmak, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Javaheri+D%22">Javaheri D</searchLink>; School of Computing, Engineering and Physical Sciences, University of the West Scotland, London Campus, United Kingdom.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2025 Sep 30; Vol. 20 (9), pp. e0330454. <i>Date of Electronic Publication: </i>2025 Sep 30 (<i>Print Publication: </i>2025).
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