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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/31401
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dc.contributor.authorHladkaya, V. S.-
dc.contributor.authorSilkov, N. I.-
dc.contributor.authorKarol, I. M.-
dc.date.accessioned2018-05-11T09:12:51Z-
dc.date.available2018-05-11T09:12:51Z-
dc.date.issued2018-
dc.identifier.citationHladkaya, V. S. Methods and machinery of accumulation of data for non- invasive diagnostics and monitoring of diabetes mellitus / V. S. Hladkaya, N. I. Silkov, I. M. Karol // BIG DATA Advanced Analytics: collection of materials of the fourth international scientific and practical conference, Minsk, Belarus, May 3 – 4, 2018 / editorial board: М. Batura [etc.]. – Minsk, BSUIR, 2018. – Р. 129 – 135.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/31401-
dc.description.abstractBy monitoring we mean permanent observation of blood sugar level what is extremely important to ensure taking medication on time for insulin-dependent patients. DM diagnostics by non-invasive technique has the fol- lowing advantages: the test is quick and painless, there is no risk of HIV infection and different forms of viral hepatitis, it is safe for both patients and medical staff, and does not require complicated biochemical tests and medical supplies.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectnon-invasiveru_RU
dc.subjectprocedureru_RU
dc.subjectdiabetes mellitusru_RU
dc.subjectoptical methodsru_RU
dc.subjectglycoproteinsru_RU
dc.titleMethods and machinery of accumulation of data for non- invasive diagnostics and monitoring of diabetes mellitusru_RU
dc.typeСтатьяru_RU
Appears in Collections:BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2018)

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