DC Field | Value | Language |
dc.contributor.author | Дик, С. К. | - |
dc.contributor.author | Гордейчук, Т. В. | - |
dc.contributor.author | Меженная, М. М. | - |
dc.contributor.author | Табунов, С. Н. | - |
dc.contributor.author | Ситник, Г. Д. | - |
dc.contributor.author | Никитенко, П. И. | - |
dc.contributor.author | Рункевич, Е. Н. | - |
dc.contributor.author | Кишкевич, И. В. | - |
dc.date.accessioned | 2017-11-24T07:33:49Z | - |
dc.date.available | 2017-11-24T07:33:49Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Исследование воздействия физиотерапевтических факторов на микроциркуляцию поверхностных биотканей человека / С. К. Дик [и др.] // BIG DATA and Advanced Analytics: collection of materials of the third international scientific and practical conference, Minsk, Belarus, May 3–4, 2017 / editorial board : М. Batura [et al.]. – Minsk : BSUIR, 2017. – С. 324–330. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/28047 | - |
dc.description.abstract | The number of publications in biomedicine published and indexed annually by PubMed [1] almost doubled over the past 10 years (from 746 thousand to 1354 thousand). This leads to a deterioration in the quality of search and cataloging of scientific publications and it becomes increasingly difficult for scientists to find the necessary information. There is a need to transform unstructured scientific texts into structured formats (XML, JSON). In this task, the quality of recognition of named entities in textual information is of great importance. | ru_RU |
dc.language.iso | ru | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.subject | физиотерапевтические факторы | ru_RU |
dc.subject | микроциркуляция | ru_RU |
dc.subject | поверхностные биоткани человека | ru_RU |
dc.title | Исследование воздействия физиотерапевтических факторов на микроциркуляцию поверхностных биотканей человека | ru_RU |
dc.type | Article | ru_RU |
Appears in Collections: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2017)
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