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

Expression of Concern (1)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91833, first published .
Expression of Concern: Data Mining–Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach

Expression of Concern: Data Mining–Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach

Expression of Concern: Data Mining–Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach

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    Following the publication of this article [1] concerns were raised regarding the validity of the dataset used. The JMIR Publications Editorial Office is investigating this matter and in the interim issues this expression of concern.

    1. Eldawansy M, El Bakry H, M Shohieb S. Data mining–based model for computer-aided diagnosis of autism and gelotophobia: mixed methods deep learning approach. JMIR Form Res. Aug 13, 2025;9:e72115. [CrossRef] [Medline]

    This is a non–peer-reviewed article. submitted 20.Jan.2026; accepted 20.Jan.2026; published 23.Jan.2026.

    © JMIR Publications Editorial Office. Originally published in JMIR Formative Research (https://formative.jmir.org), 23.Jan.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 Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.