Please use this identifier to cite or link to this item:
http://repo.knmu.edu.ua/handle/123456789/29810
Title: | Ensemble machine learning method as a high accuracy approach to COVID-19 simulation |
Authors: | Chumachenko, Dmytro Meniailov, Ievgen Howard, Megan W. Bazilevych, Kseniia Makhota, Lyubov Chumachenko, Tatyana Чумаченко, Тетяна Олександрівна Чумаченко, Татьяна Александровна |
Keywords: | method accuracy approach COVID-19 simulation |
Issue Date: | Nov-2021 |
Citation: | Ensemble 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. |
Abstract: | Virtual meeting |
URI: | https://repo.knmu.edu.ua/handle/123456789/29810 |
Appears in Collections: | Наукові праці. Кафедра епідеміології |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Meniailov_Howard_Bazilevych_Makhota_Chumachenko.pdf | 367,37 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.