DC Field | Value | Language |
dc.contributor.author | Blagosklonov, N. A. | - |
dc.contributor.author | Kobrinskii, B. A. | - |
dc.date.accessioned | 2019-02-27T10:46:00Z | - |
dc.date.available | 2019-02-27T10:46:00Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Blagosklonov, N. A. Choice of liver failure treatment using set-theoretic models / N. A. Blagosklonov, B. A. Kobrinskii // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2019) : материалы международной научно-технической конференции, Минск, 21 - 23 февраля 2019 г. / Белорусский государственный университет информатики и радиоэлектроники; редкол.: В. В. Голенков (гл. ред.) [и др.]. - Минск, 2019. - С. 325 - 328. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/34540 | - |
dc.description.abstract | The article presents the set-theoretic models of liver
failure, allowing the diagnosis of the disease forms and personalized
selection of traditional and new methods of treatment. Separate
types are presented in the form of 5 sets which correspond to
the known clinical forms of the studied pathology: "chronic liver
failure", "acute-on-chronic liver failure", "acute liver failure",
"fulminant liver failure" and "drug-induced liver injury". The
models allow to take into account the dynamics of transition from
one form to another in the process of developing the disease with
continued influence of negative factors. The proposed approach
allows the difference in the clinical manifestations of the pathology,
the fuzzies of the transitional disease states, specific and non-
specific signs of etiologically and pathogenetically different forms,
which are the criteria for selecting similar cases to choice the most
effective therapies. Personalized treatment is based on comparing
a patient with a specific subset of the multiset. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.subject | set-theoretic model | ru_RU |
dc.subject | multiset | ru_RU |
dc.subject | approximate sets | ru_RU |
dc.subject | meta-analysis | ru_RU |
dc.subject | liver failure | ru_RU |
dc.subject | personalized therap | ru_RU |
dc.title | Choice of liver failure treatment using set-theoretic models | ru_RU |
dc.title.alternative | Выбор аналогичных методов лечения печеночной недостаточности при использовании теоретико-множественных моделей | ru_RU |
dc.type | Статья | ru_RU |
Appears in Collections: | OSTIS-2019
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