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http://repo.knmu.edu.ua/handle/123456789/30051
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chumachenko, Dmytro | - |
dc.contributor.author | Chumachenko, Tatyana | - |
dc.contributor.author | Чумаченко, Тетяна Олександрівна | - |
dc.contributor.author | Чумаченко, Татьяна Александровна | - |
dc.contributor.author | Meniailov, Ievgen | - |
dc.contributor.author | Muradyan, Olena | - |
dc.contributor.author | Zholtkevych, Grigoriy | - |
dc.date.accessioned | 2021-12-02T13:53:37Z | - |
dc.date.available | 2021-12-02T13:53:37Z | - |
dc.date.issued | 2021-11-29 | - |
dc.identifier.citation | Forecasting of COVID-19 Epidemic Process by Lasso Regression / D. Chumachenko, T. Chumachenko, Ie. Meniailov, O. Muradyan, G. Zholtkevych // 2021 IEEE Fifth International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo), 29 November – 02 December 2021, Kyiv, Ukraine. – Kyiv, 2021. – P. 80–83. | en_US |
dc.identifier.uri | https://repo.knmu.edu.ua/handle/123456789/30051 | - |
dc.language.iso | en | en_US |
dc.subject | epidemic model | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | machine learning | en_US |
dc.subject | lasso regression | en_US |
dc.subject | infectious diseases forecasting | en_US |
dc.title | Forecasting of COVID-19 Epidemic Process by Lasso Regression | en_US |
dc.type | Article | en_US |
Appears in Collections: | Наукові праці. Кафедра епідеміології |
Files in This Item:
File | Description | Size | Format | |
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D.Chumachenko_T.Chumachenko_Meniailov_Muradyan_Zholtkevych.pdf | 3,43 MB | Adobe PDF | View/Open |
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