Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020:2:283-292.
doi: 10.1016/j.glt.2020.11.002. Epub 2020 Nov 12.

An integrated fog and Artificial Intelligence smart health framework to predict and prevent COVID-19

Affiliations

An integrated fog and Artificial Intelligence smart health framework to predict and prevent COVID-19

Prabhdeep Singh et al. Glob Transit. 2020.

Abstract

Nowadays, COVID-19 is spreading at a rapid rate in almost all the continents of the world. It has already affected many people who are further spreading it day by day. Hence, it is the most essential to alert nearby people to be aware of it due to its communicable behavior. Till May 2020, no vaccine is available for the treatment of this COVID-19, but the existing technologies can be used to minimize its effect. Cloud/fog computing could be used to monitor and control this rapidly spreading infection in a cost-effective and time-saving manner. To strengthen COVID-19 patient prediction, Artificial Intelligence(AI) can be integrated with cloud/fog computing for practical solutions. In this paper, fog assisted the internet of things based quality of service framework is presented to prevent and protect from COVID-19. It provides real-time processing of users' health data to predict the COVID-19 infection by observing their symptoms and immediately generates an emergency alert, medical reports, and significant precautions to the user, their guardian as well as doctors/experts. It collects sensitive information from the hospitals/quarantine shelters through the patient IoT devices for taking necessary actions/decisions. Further, it generates an alert message to the government health agencies for controlling the outbreak of chronic illness and for tanking quick and timely actions.

Keywords: Artificial intelligence; COVID-19; Cloud/fog computing; Ensemble model; Quality of service framework; Smart city.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Proposed framework.
Fig. 2
Fig. 2
The proposed ensemble based classifier.
Fig. 3
Fig. 3
Working of ensemble framework.
Fig. 4
Fig. 4
Recall analysis of classifier.
Fig. 5
Fig. 5
F-Measure analysis of classifier.
Fig. 6
Fig. 6
Overall response time.
Fig. 7
Fig. 7
Alert generation.
None
None
None

References

    1. Alexandre J., Cracowski J.L., Richard V., Bouhanick B. Annales d’Endocrinologie. Elsevier; 2020. Renin-angiotensin-aldosterone system and covid-19 infection. - PMC - PubMed
    1. Alsaeedy A.A., Chong E.K. Detecting regions at risk for spreading covid-19 using existing cellular wireless network functionalities. IEEE Open Journal of Engineering in Medicine and Biology. 2020;1:187–189. - PMC - PubMed
    1. Angurala M., Bala M., Bamber S.S., Kaur R., Singh P. An internet of things assisted drone based approach to reduce rapid spread of covid-19. Journal of Safety Science and Resilience. 2020;1:31–35.
    1. Bahloul M., Chahid A., Laleg-Kirati T.M. 2020. Fractional-order Seiqrdp Model for Simulating the Dynamics of Covid-19 Epidemic. arXiv preprint arXiv:2005. - PMC - PubMed
    1. Chen R., Sang L., Jiang M., Yang Z., Jia N., Fu W., Xie J., Guan W., Liang W., Ni Z. Longitudinal hematologic and immunologic variations associated with the progression of covid-19 patients in China. J. Allergy Clin. Immunol. 2020;146(1):89–100. doi: 10.1016/j.jaci.2020.05.003. - DOI - PMC - PubMed

LinkOut - more resources