Fuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak

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dc.authorscopusid56539994200
dc.contributor.authorCihan, Pınar
dc.date.accessioned2022-05-11T14:15:56Z
dc.date.available2022-05-11T14:15:56Z
dc.date.issued2020
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- -- 165025
dc.description.abstractThe Covid-19 outbreak appeared in Wuhan in December 2019 and spread rapidly all over the world. The Covid-19 disease does not yet have a clinically proven vaccine and drug for treatment. The most important physical factors in reducing the spread of the epidemic are washing hands, reducing social distance and using a mask. Today in addition to clinical studies, computer-aided studies are also widely carried out for Covid-19 outbreak. Artificial intelligence methods are successfully applied in epidemic studies. In this study, fuzzy rule basing system (FRBS) used to predict the number of Covid-19 daily cases. As a result of the study, the number of daily cases was successfully estimated with FRBS (R2 = 0.96, MAE = 186 and RMSE = 254).. © 2020 IEEE.
dc.identifier.doi10.1109/ISMSIT50672.2020.9254714
dc.identifier.isbn978-1728190907
dc.identifier.scopus2-s2.0-85097657895
dc.identifier.urihttps://doi.org/10.1109/ISMSIT50672.2020.9254714
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6128
dc.indekslendigikaynakScopus
dc.institutionauthorCihan, Pınar
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectartificial intelligence
dc.subjectCOVID-19
dc.subjectdaily case
dc.subjectfuzzy rule basing system
dc.subjectprediction
dc.titleFuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak
dc.typeConference Object

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