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Retraction (11)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/98673, first published .
Retraction: Medical Data Feature Learning Based on Probability and Depth Learning Mining: Model Development and Validation

Retraction: Medical Data Feature Learning Based on Probability and Depth Learning Mining: Model Development and Validation

Retraction: Medical Data Feature Learning Based on Probability and Depth Learning Mining: Model Development and Validation

Authors of this article:

JMIR Publications Editorial Office1
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    Retraction

    JMIR Publications, Toronto, ON

    Corresponding Author:

    JMIR Publications

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    Toronto, ON

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    Email: ed-support@jmir.org



    The JMIR Publications Editorial Office is retracting the article:

    Medical Data Feature Learning Based on Probability and Depth Learning Mining: Model Development and Validation [1]

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

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

    1. Yang Y, Li D. Medical data feature learning based on probability and depth learning mining: model development and validation. JMIR Med Inform. Apr 08, 2021;9(4):e19055. [FREE Full text] [CrossRef] [Medline]

    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.