Please use this identifier to cite or link to this item:
http://repo.knmu.edu.ua/handle/123456789/30608Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chumachenko, Dmytro | - |
| dc.contributor.author | Piletskiy, Pavlo | - |
| dc.contributor.author | Sukhorukova, Marya | - |
| dc.contributor.author | Chumachenko, Tetyana | - |
| dc.date.accessioned | 2022-05-02T17:14:04Z | - |
| dc.date.available | 2022-05-02T17:14:04Z | - |
| dc.date.issued | 2022-04-23 | - |
| dc.identifier.citation | Predictive Model of Lyme Disease Epidemic Process Using Machine Learning Approach / D. Chumachenko, P. Piletskiy, M. Sukhorukova, T. Chumachenko // Applied Sciences. – 2022. – Vol. 12. – P. 4282. – DOI: https://doi.org/10.3390/ app12094282. | en_US |
| dc.identifier.uri | https://repo.knmu.edu.ua/handle/123456789/30608 | - |
| dc.language.iso | en | en_US |
| dc.publisher | MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations | en_US |
| dc.subject | epidemic process | en_US |
| dc.subject | Lyme disease | en_US |
| dc.subject | machine learning | en_US |
| dc.title | Predictive Model of Lyme Disease Epidemic Process Using Machine Learning Approach | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Наукові праці. Кафедра епідеміології | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ChumachenkoD_Piletskiy_Sukhorukova_ChumachenkoT.pdf | 4,26 MB | Adobe PDF |  View/Open |
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