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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/98668, first published .
Retraction: Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development

Retraction: Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development

Retraction: Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development

Authors of this article:

JMIR Publications Editorial Office1

Retraction

JMIR Publications, Toronto, ON

Corresponding Author:

JMIR Publications

130 Queens Quay East, Suite 1100-1102

Toronto, ON

Phone: 1 4165832040

Email: ed-support@jmir.org



The JMIR Publications Editorial Office is retracting the article:

Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development [1]

This action is being taken due to identified concerns regarding potential manipulation of the submission process and the integrity of the peer review process.

The concerns with this publication were identified during an investigation of a series of articles with related concerns. Author Yue Liu was contacted and offered an opportunity to comment on these findings and the proposed retraction but did not respond to any attempts at communication.

  1. Liu Y. Artificial intelligence–based neural network for the diagnosis of diabetes: model development. JMIR Med Inform. May 27, 2020;8(5):e18682. [CrossRef]

This is a non–peer-reviewed article. submitted 17.Apr.2026; accepted 17.Apr.2026; published 28.Apr.2026.

Copyright

© JMIR Publications Editorial Office. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 28.Apr.2026.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.