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Research Article | Open Access |

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

Author 1: Yassine Sabri Author 2: Ahmed Outzourhit
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 8 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.0130892

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.

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How to Cite this Article

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

Sabri, Yassine, and Ahmed Outzourhit. "A Novel Big Data Intelligence Analytics Framework for 5G-Enabled IoT Healthcare." International Journal of Advanced Computer Science and Applications, vol. 13, no. 8, 2022, https://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},
  volume    = {13},
  number    = {8},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Yassine Sabri and Ahmed Outzourhit},
  doi       = {10.14569/IJACSA.2022.0130892},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130892}
}

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