Ensemble machine learning method as a high accuracy approach to COVID-19 simulation

dc.contributor.authorChumachenko, Dmytro
dc.contributor.authorMeniailov, Ievgen
dc.contributor.authorHoward, Megan W.
dc.contributor.authorBazilevych, Kseniia
dc.contributor.authorMakhota, Lyubov
dc.contributor.authorChumachenko, Tatyana
dc.contributor.authorЧумаченко, Тетяна Олександрівна
dc.contributor.authorЧумаченко, Татьяна Александровна
dc.date.accessioned2021-11-19T10:32:24Z
dc.date.available2021-11-19T10:32:24Z
dc.date.issued2021-11
dc.description.abstractVirtual meetingen_US
dc.identifier.citationEnsemble machine learning method as a high accuracy approach to COVID-19 simulation / Ie. Meniailov, M. W. Howard, K. Bazilevych, L. Makhota, T. Chumachenko // The American Journal of Tropical Medicine and Hygiene. – 2021. – Vol. 105, № 5, supplement: Annual Meeting, America, November 17–21, 2021 : Abstract book. – P. 194.en_US
dc.identifier.urihttps://repo.knmu.edu.ua/handle/123456789/29810
dc.language.isoenen_US
dc.subjectmethoden_US
dc.subjectaccuracy approachen_US
dc.subjectCOVID-19en_US
dc.subjectsimulationen_US
dc.titleEnsemble machine learning method as a high accuracy approach to COVID-19 simulationen_US
dc.typeThesisen_US

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