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Intelligent Cloud IoMT Health Monitoring-Based System for COVID-19

Computers, Materials & Continua 2022年第7期72卷 497-517页

作者： Hameed AlQaheri Manash Sarkar Saptarshi Gupta bhavya gaur Department of Information Systems and Operation Management College of Business AdministrationKuwait University13060Kuwait Atria Institute of Technology BengaluruKarnatakaIndia Electronics and Communication Engineering SRM Institute of Science&TechnologyDelhi-NCR201204India Business Technology Analyst ZS AssociatesPune411014India

The most common alarming and dangerous disease in the world today is the coronavirus disease 2019(COVID-19).The coronavirus is perceived as a group of coronaviruses which causes mild to severe respiratory diseases among human *** infection is spread by aerosols emitted from infected individuals during talking,sneezing,and ***,infection can occur by touching a contaminated surface followed by transfer of the viral load to the *** may occur through aerosols that stay suspended in the air for extended periods of time in enclosed *** stop the spread of the pandemic,it is crucial to isolate infected patients in quarantine *** health organizations faced a lack of quarantine houses and medical test facilities at the first level of testing by the proposed *** any serious condition is observed at the first level testing,then patients should be recommended to be *** this study,an IoT-enabled smart monitoring system is proposed to detect COVID-19 positive patients and monitor them during their home *** Internet of Medical Things(IoMT),known as healthcare IoT,is employed as the foundation of the proposed *** least-squares(LS)method was applied to estimate the linear model parameters for a sequential pilot survey.A statistical sequential analysis is performed as a pilot survey to efficiently collect preliminary data for an extensive survey of COVID-19 positive *** Bayesian approach is used,based on the assumption of the random variable for the priori distribution of the data *** inference is used to construct different rules based on the basic symptoms of COVID-19 patients to make an expert decision to detect COVID-19 positive ***,the performance of the proposed model was determined by applying a four-fold cross-validation technique.

关键词： Pandemic COVID-19 internet of medical things least square fuzzy inference

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