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Article Type

Original Study

Abstract

Recently, the Internet of Things has become a compelling research field as a new topic of research in various disciplines, particularly in the field of healthcare, because the Internet of Things is rebuilding modern healthcare systems by integrating technology, economics, and social perspectives. The development of healthcare systems from traditional to more personalized systems in which patients can be easily diagnosed, monitored and treated and many people can be helped. People are treated and cared for remotely and this is what some people need in the crisis the world has been through like COVID-19. This epidemic is caused by the new severe acute respiratory syndrome, and is considered the largest global health crisis since the outbreak of the influenza pandemic. As the number of new cases of coronavirus around the world has reached more than thirty-one million that marks the beginning of the epidemic, there have been rapid efforts in the various research communities to exploit a wide range of technologies to combat this global threat, moreover, the Internet of Things technology represents One of the pioneers in this field especially regarding COVID-19. IoT-enabled devices/applications are used to reduce the potential spread of this epidemic to others through rapid patient diagnosis, monitoring, and practice protocols, specifically, after recovery, and case classification by introducing machine learning to know the type of infection especially that the epidemic is starting to develop and is Similar to the cases of the normal flu, and the infection process is similar, and the process of caring for the patient requires meticulous work, because the treating doctor will give the appropriate treatment according to the case.

Keywords

Deep learning, WBAN, COVID-19, IoT

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