RETRACTION: Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder

IF 4.9 Q1 PSYCHOLOGY, MULTIDISCIPLINARY

Human Behavior and Emerging Technologies Pub Date : 2026-08-02 DOI:10.1155/hbe2/9896173

Human Behavior and Emerging Technologies

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引用次数: 0

Abstract

RETRACTION: M. Sha, H. Al-Dossary, and M. P. Rahamathulla, “Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder,” Human Behavior and Emerging Technologies (2025): 1496105, https://doi.org/10.1155/hbe2/1496105.

The above article, published online on 19 February 2025 in Wiley Online Library (https://www.wileyonlinelibrary.com), has been retracted by agreement between Human Behavior and Emerging Technologies; and John Wiley & Sons Ltd.

The retraction was agreed upon due to concerns regarding both the reliability of the study and significant privacy issues. The dataset used in the study contains images of children purported to have, or not have autism spectrum disorder (ASD), sourced from the internet without any documented clinical history or independent verification of an ASD diagnosis, raising concerns about the scientific validity of the dataset. In addition, the images of minors have been used and presented in the article without consent from the individuals or their parents/legal guardians. For these reasons, the article has been retracted and the corresponding images of children have been redacted. The authors have been informed of this decision but were not available for final confirmation.

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多模态数据融合框架用于自闭症谱系障碍的早期预测

撤稿：M. Sha， H. Al-Dossary，和M. P. Rahamathulla，“用于自闭症谱系障碍早期预测的多模态数据融合框架”，人类行为和新兴技术（2025）：1496105,https://doi.org/10.1155/hbe2/1496105.The以上文章，于2025年2月19日在线发表在Wiley在线图书馆（https://www.wileyonlinelibrary.com），经人类行为和新兴技术之间的协议已被撤回；由于考虑到研究的可靠性和重大的隐私问题，双方同意撤回研究报告。研究中使用的数据集包含据称患有或未患有自闭症谱系障碍（ASD）的儿童的图像，这些图像来自互联网，没有任何临床病史记录或ASD诊断的独立验证，这引起了人们对数据集科学有效性的担忧。此外，在未经个人或其父母/法定监护人同意的情况下，文章中使用和呈现未成年人图像。由于这些原因，文章已被撤回，相应的儿童图像已被编辑。作者已被告知这一决定，但未能得到最后确认。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)

CiteScore

17.20

自引率

8.70%

发文量

期刊介绍： Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.