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RETRACTED: Analytical review on deep learning and IoT for smart healthcare monitoring system

Sangeetha Yempally (Department of Electronics and Communication Engineering, Amity University Rajasthan, Jaipur, India)
Sanjay Kumar Singh (Department of Electronics and Communication Engineering, Amity University Rajasthan, Jaipur, India)
S. Velliangiri (Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur Campus, Chennai, India)

International Journal of Intelligent Unmanned Systems

ISSN: 2049-6427

Article publication date: 7 June 2022

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This article was retracted on 21 Feb 2024.

Retraction notice

The publishers of the International Journal of Intelligent Unmanned Systems wish to retract the article Yempally, S., Singh, S.K. and Velliangiri, S. (2022), “Analytical review on deep learning and IoT for smart healthcare monitoring system”, International Journal of Intelligent Unmanned Systems, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJIUS-02-2022-0019

An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald's publishing ethics and the COPE guidelines on retractions. The publishers of the journal sincerely apologize to the readers. The authors of this paper would like to note that they do not agree with the content of this notice.

Abstract

Purpose

Selecting and using the same health monitoring devices for a particular problem is a tedious task. This paper aims to provide a comprehensive review of 40 research papers giving the Smart health monitoring system using Internet of things (IoT) and Deep learning.

Design/methodology/approach

Health Monitoring Systems play a significant role in the healthcare sector. The development and testing of health monitoring devices using IoT and deep learning dominate the healthcare sector.

Findings

In addition, the detailed conversation and investigation are finished by techniques and development framework. Authors have identified the research gap and presented future research directions in IoT, edge computing and deep learning.

Originality/value

The gathered research articles are examined, and the gaps and issues that the current research papers confront are discussed. In addition, based on various research gaps, this assessment proposes the primary future scope for deep learning and IoT health monitoring model.

Keywords

Acknowledgements

Conflict of interest: The authors declare that there will be no conflicts.

Citation

Yempally, S., Singh, S.K. and Velliangiri, S. (2022), "RETRACTED: Analytical review on deep learning and IoT for smart healthcare monitoring system", International Journal of Intelligent Unmanned Systems, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJIUS-02-2022-0019

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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