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

Global Transitions
Prabhdeep Singh, Rajbir Kaur

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 ...Continue Reading

Citations

May 4, 2021·Information Systems Frontiers : a Journal of Research and Innovation·Prabh Deep SinghGaurav Dhiman

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Methods Mentioned

BETA
X-ray

Software Mentioned

LABEL
iFogSim
GAN
CovidGAN
Fog Computing

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