A comparative study on COVID-19 prediction using deep learning and machine learning algorithms: a case study on performance analysis

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dc.contributor.authorArslan, Hilal
dc.contributor.authorEr, Orhan
dc.date.accessioned2023-03-22T19:48:06Z
dc.date.available2023-03-22T19:48:06Z
dc.date.issued2022
dc.departmentBelirleneceken_US
dc.description.abstractCOVID-19 disease has been the most important disease recently and has affected serious number of people in the world. There is not proven treatment method yet and early diagnosis of COVID-19 is crucial to prevent spread of the disease. Laboratory data can be easily accessed in about 15 minutes, and cheaper than the cost of other COVID-19 detection methods such as CT imaging and RT-PCR test. In this study, we perform a comparative study for COVID-19 prediction using machine learning and deep learning algorithms from laboratory findings. For this purpose, nine different machine learning algorithms including different structures as well as deep neural network classifier are evaluated and compared. Experimental results conduct that cosine k-nearest neighbor classifier achieves better accuracy with 89% among other machine learning algorithms. Furthermore, deep neural network classifier achieves an accuracy of 90.3% when one hidden layer including 60 neurons is used to detect COVID-19 disease from laboratory findings data.en_US
dc.identifier.doi10.35377/saucis...932400
dc.identifier.endpage83en_US
dc.identifier.issn2636-8129
dc.identifier.issue1en_US
dc.identifier.startpage71en_US
dc.identifier.trdizinid514580en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14034/980
dc.identifier.urihttps://doi.org/10.35377/saucis...932400
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/514580
dc.identifier.volume5en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.journalSakarya University Journal of Computer and Information Sciences (Online)en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCOVID-19 diseaseen_US
dc.titleA comparative study on COVID-19 prediction using deep learning and machine learning algorithms: a case study on performance analysisen_US
dc.typeArticleen_US

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