Please use this identifier to cite or link to this item:
http://repo.knmu.edu.ua/handle/123456789/21968
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Perova, Iryna | - |
dc.contributor.author | Litovchenko, Olena | - |
dc.contributor.author | Bodyanskiy, Yevgeniy | - |
dc.contributor.author | Brazhnykova, Yelizaveta | - |
dc.contributor.author | Zavgorodnii, Igor | - |
dc.contributor.author | Mulesa, Pavlo | - |
dc.date.accessioned | 2018-12-11T21:15:48Z | - |
dc.date.available | 2018-12-11T21:15:48Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Medical data-stream mining in the area of electromagnetic radiation and low temperature influence on biological objects / I. Perova, О. Litovchenko, Yev. Bodyanskiy, Yel. Brazhnykova, I. Zavgorodnii, P. Mulesa // Data Stream Mining & Processing : Proceedings of the 2018 IEEE Second International Conference, Lviv, 21–25 August 2018. – Lviv, 2018. – P. 3–6. | ru_RU |
dc.identifier.uri | https://repo.knmu.edu.ua/handle/123456789/21968 | - |
dc.description.abstract | At this paper medical data stream mining in the area of influence by different fields (electromagnetic radiation and positive low temperature) on laboratory white rats is investigated. The most informative features in multidimensional time series using neural network based on Oja's neurons and the most informative physical field influence on biological objects (white rats) are detected. | ru_RU |
dc.language.iso | en | ru_RU |
dc.subject | principal component analysis | ru_RU |
dc.subject | medical data stream mining | ru_RU |
dc.subject | electromagnetic radiation influence | ru_RU |
dc.title | Medical data-stream mining in the area of electromagnetic radiation and low temperature influence on biological objects | ru_RU |
dc.type | Article | ru_RU |
Appears in Collections: | Наукові праці. Кафедра гігієни та екології № 2 |
Files in This Item:
File | Description | Size | Format | |
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Medical Data-Stream Mining.pdf | 4,26 MB | Adobe PDF | View/Open |
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