Please use this identifier to cite or link to this item:
http://repo.knmu.edu.ua/handle/123456789/30608| Title: | Predictive Model of Lyme Disease Epidemic Process Using Machine Learning Approach |
| Authors: | Chumachenko, Dmytro Piletskiy, Pavlo Sukhorukova, Marya Chumachenko, Tetyana |
| Keywords: | epidemic process Lyme disease machine learning |
| Issue Date: | 23-Apr-2022 |
| Publisher: | MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations |
| 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. |
| URI: | https://repo.knmu.edu.ua/handle/123456789/30608 |
| 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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