RETRACTION: Optimization Using Internet of Agent Based Stacked Sparse Autoencoder Model for Heart Disease Prediction

IF 3 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Expert Systems Pub Date : 2024-10-16 DOI:10.1111/exsy.13751

引用次数: 0

Abstract

RETRACTION: V. Baviskar, M. Verma, P. Chatterjee, G. Singal and T. R. Gadekallu, “ Optimization Using Internet of Agent Based Stacked Sparse Autoencoder Model for Heart Disease Prediction,” Expert Systems (Early View): e13359, https://doi.org/10.1111/exsy.13359.

The above article, published online on 10 June 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. The article was submitted as part of a guest-edited special issue. Following publication, it has come to the attention of the journal that parts of the methods in the article lack sufficient detail such that the research cannot be reproduced. A relevant discussion and discrimination for different cardiovascular diseases is missing. The editors have therefore decided to retract this article. The authors disagree with the retraction.

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RETRACTION：利用基于互联网的代理堆叠稀疏自动编码器模型进行心脏病预测优化

撤回：V. Baviskar、M. Verma、P. Chatterjee、G. Singal 和 T. R. Gadekallu，" Optimization Using Internet of Agent Based Stacked Sparse Autoencoder Model for Heart Disease Prediction，" Expert Systems (Early View): e13359，https://doi.org/10.1111/exsy.13359。上述文章于 2023 年 6 月 10 日在线发表于 Wiley Online Library (wileyonlinelibrary.com)，经期刊主编 David Camacho 和 John Wiley & Sons Ltd.（约翰-威利父子有限公司）同意，已被撤回。这篇文章是作为特邀编辑特刊的一部分提交的。文章发表后，本刊注意到文章中的部分方法不够详细，导致研究无法复制。文章缺少对不同心血管疾病的相关讨论和鉴别。因此，编辑决定撤回这篇文章。作者不同意撤稿。

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

Expert Systems 工程技术-计算机：理论方法

CiteScore

7.40

自引率

6.10%

发文量

266

审稿时长

24 months

期刊介绍： Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.

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