HYBRID APPROACH USING GAME THEORY AND IOT FOR DISEASE DETECTION AND REROUTING

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Kanchan jyoti
Aastha Mahajan

Abstract

Healthcare industry has never-endingly been on the bleeding edge in the selection and usage of data and correspondence advancements (ICT) for the effective medicinal services organization and treatment. Late improvements in ICT and the development of Internet of Things (loT) have opened up new roads for research and investigation in all the fields including medicinal and human service industry. Doctor's facilities have begun utilizing the cell instruments for correspondence aim and for this plan understudy Internet of things (loT) has been utilized and combined with wi-fi sensor hub reminiscent of game theory, NFC tag and little sensor hubs. The use of a cell specialist in social insurance methodology underneath wi-fi group condition allows to investigate enhanced administrations for patients and staffs reminiscent of therapeutic experts and medical caretakers given that of its versatility. A Noval Technqiue hybridizing IoT with game theory for traffic rerouting and disease prediction is proposed. In this paper we use game theory to re-route the traffic that are predicted by using IOT. Most of the review exists about the distinctive medicinal services approaches utilized as a part of the loT, like, remote prosperity checking, U-social insurance, E-human services, Age-accommodating social insurance systems. This paper portrays and proposes a Health checking, rerouting and compelling human services observing framework outlined by utilizing the loT and also uses to game theory for predicting effected area. The test brings about this paper demonstrate the strong yield against different medicinal crises. In this framework to get the veracious assessment results, administering and measuring the wellbeing status of patient and to expand the energy of loT, the mix of microcontroller with sensors is exhibited.

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