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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

A Novel Big Data Intelligence Analytics Framework for 5G-Enabled IoT Healthcare

Author 1: Yassine Sabri
Author 2: Ahmed Outzourhit

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0130892

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 8, 2022.

  • Abstract and Keywords
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Abstract: Intelligent networking is a concept that enables 5G, the Internet of Things (IoT) and artificial intelligence (AI) to combine as a way to accelerate technological innovation and develop new revolutionary digital services. In the intelligent connectivity vision, the digital information gathered by the machines, devices and sensors which make up the IoT is analysed and contextualized. It is anticipated that the high availability of 5G and its inclusion of a large number of connections would help promote the production of wearable devices used to monitor the different biometric parameters of the wearer. Since these are AIbased health systems, the data obtained from these devices will be analysed in order to assess a patient’s current health status. This paper presents a detailed design for the development of intelligent data analytics and mobile computer-assisted healthcare systems.The proposed advanced PoS consensus algorithm provides better performance than other existing algorithms.

Keywords: Big data analytics; 5G-enabled; IoT healthcare; fog computing; confidentiality

Yassine Sabri and Ahmed Outzourhit, “A Novel Big Data Intelligence Analytics Framework for 5G-Enabled IoT Healthcare” International Journal of Advanced Computer Science and Applications(IJACSA), 13(8), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130892

@article{Sabri2022,
title = {A Novel Big Data Intelligence Analytics Framework for 5G-Enabled IoT Healthcare},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130892},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130892},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {8},
author = {Yassine Sabri and Ahmed Outzourhit}
}


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