MetadatenAuthor: | Dmytro ChumachenkoORCiD, Alina NechyporenkoORCiD, Marcus FrohmeORCiDGND |
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URN: | urn:nbn:de:kobv:526-opus4-19074 |
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URL: | https://ceur-ws.org/Vol-3302/short4.pdf |
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Parent Title (English): | Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine, Lyon, France, November 18 - 20, 2022 |
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Publisher: | RWTH Aachen |
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Editor: | Natalia Shakhovska, Stéphane Chrétien, Ivan Izonin, Jaime Campos |
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Document Type: | Conference Proceeding |
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Language: | English |
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Year of Publication: | 2022 |
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Publishing Institution: | Technische Hochschule Wildau |
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Release Date: | 2024/04/12 |
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Tag: | COVID-19; epidemic model; infectious disease simulation; machine learning; polynomial regression; war |
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Volume: | 3302 |
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First Page: | 78 |
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Last Page: | 85 |
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Source: | Chumachenko, D., Nechyporenko, A., & Frohme, M. (2022). Impact of Russian War on COVID-19 Dynamics in Germany: the Simulation Study by Statistical Machine Learning. (N. Shakhovska, S. Chrétien, I. Izonin, & J. Campos), Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine, Lyon, France, November 18 - 20, 2022. Aachen: CEUR-WS.org. Retrieved from https://ceur-ws.org/Vol-3302/short4.pdf |
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Faculties an central facilities: | Fachbereich Ingenieur- und Naturwissenschaften |
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Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren |
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| 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |
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