This paper is in the following e-collection/theme issue:

Expression of Concern (1)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75352, first published .
Expression of Concern: A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study

Expression of Concern: A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study

Expression of Concern: A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study

Authors of this article:

Article Cited by Tweetations Metrics

Expression of Concern


The publisher expresses concern regarding the following article:

A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study [Li A, Li J, Hu Y, Geng Y, Qiang Y, Zhao J. A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study. JMIR Med Inform. Jan 20, 2025;13:e60250. [FREE Full text] [CrossRef] [Medline]1].

This article is under investigation for potential peer review irregularities. Readers are advised to interpret the findings with caution pending the outcome of this inquiry.

  1. Li A, Li J, Hu Y, Geng Y, Qiang Y, Zhao J. A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study. JMIR Med Inform. Jan 20, 2025;13:e60250. [FREE Full text] [CrossRef] [Medline]

This is a non–peer-reviewed article. submitted 01.04.25; accepted 01.04.25; published 04.04.25.

Copyright

©JMIR Editorial Office. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 04.04.2025.

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 the 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.