| DC Field | Value | Language |
|---|
| dc.contributor.author | Hladkaya, V. S. | - |
| dc.contributor.author | Silkov, N. I. | - |
| dc.contributor.author | Karol, I. M. | - |
| dc.date.accessioned | 2018-05-11T09:12:51Z | - |
| dc.date.available | 2018-05-11T09:12:51Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.citation | Hladkaya, 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 [et al.]. – Minsk, BSUIR, 2018. – Р. 129–135. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/31401 | - |
| dc.description.abstract | By 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.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | non-invasive | ru_RU |
| dc.subject | procedure | ru_RU |
| dc.subject | diabetes mellitus | ru_RU |
| dc.subject | optical methods | ru_RU |
| dc.subject | glycoproteins | ru_RU |
| dc.title | Methods and machinery of accumulation of data for non- invasive diagnostics and monitoring of diabetes mellitus | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2018)
|
