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dc.contributor.authorPal, Ratnabali
dc.contributor.authorSekh, Arif Ahmed
dc.contributor.authorKar, Samarjit
dc.contributor.authorPrasad, Dilip K.
dc.date.accessioned2021-01-23T10:31:23Z
dc.date.available2021-01-23T10:31:23Z
dc.date.issued2020-09-16
dc.description.abstractThe recent worldwide outbreak of the novel coronavirus (COVID-19) has opened up new challenges to the research community. Artificial intelligence (AI) driven methods can be useful to predict the parameters, risks, and effects of such an epidemic. Such predictions can be helpful to control and prevent the spread of such diseases. The main challenges of applying AI is the small volume of data and the uncertain nature. Here, we propose a shallow long short-term memory (LSTM) based neural network to predict the risk category of a country. We have used a Bayesian optimization framework to optimize and automatically design country-specific networks. The results show that the proposed pipeline outperforms state-of-the-art methods for data of 180 countries and can be a useful tool for such risk categorization. We have also experimented with the trend data and weather data combined for the prediction. The outcome shows that the weather does not have a significant role. The tool can be used to predict long-duration outbreak of such an epidemic such that we can take preventive steps earlier.en_US
dc.identifier.citationPal, Sekh, Kar, Prasad. Neural network based country wise risk prediction of COVID-19. Applied Sciences. 2020;10(18)en_US
dc.identifier.cristinIDFRIDAID 1840881
dc.identifier.doi10.3390/APP10186448
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/10037/20410
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalApplied Sciences
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Technology: 500::Information and communication technology: 550en_US
dc.subjectVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.subjectVDP::Medical disciplines: 700::Health sciences: 800::Epidemiology medical and dental statistics: 803en_US
dc.subjectVDP::Medisinske Fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803en_US
dc.titleNeural network based country wise risk prediction of COVID-19en_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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