1. Электронный научный архив УрФУ
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  3. Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC
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dc.contributor.authorTyrsin, A. N.en
dc.contributor.authorKalev, O. F.en
dc.contributor.authorYashin, D. A.en
dc.contributor.authorLebedeva, O. V.en
dc.date.accessioned2024-04-22T18:30:02Z-
dc.date.available2024-04-22T18:30:02Z-
dc.date.issued2015-
dc.identifier.citationТырсин, А. Н. and Tyrsin, A. N. (2015) ‘Assessment of health status of a population on the basis of entropy modeling’, Математическая биология и биоинформатика. Institute of Mathematical Problems of Biology of RAS (IMPB RAS), 10(1), pp. 206–219. doi: 10.17537/2015.10.206.harvard_pure
dc.identifier.citationТырсин, А. Н., & Tyrsin, A. N. (2015). Assessment of health status of a population on the basis of entropy modeling. Математическая Биология и Биоинформатика, 10(1), 206–219. doi:10.17537/2015.10.206apa_pure
dc.identifier.issn1994-6538
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Bronze3
dc.identifier.otherhttps://doi.org/10.17537/2015.10.206pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/132502-
dc.description.abstractThe potential use entropy modeling of multivariate stochastic systems in medicine has been shown on a concrete example. Assessment of the health status of rural male population, by the criteria of "healthy", "healthy", "sick" was made. Defined levels of entropy parameters which characterize the main risk factors of chronic non-communicable diseases according to the health groups. The greatest contribution of an individual parameter in the entropy of the population was selected in each group The degree of dependence of this parameter from the others was identified. It is established that the deterioration in health status leads to increased entropy in the population. This growth is caused by increase of entropy randomness. © 2005-2017.en
dc.format.mimetypeapplication/pdfen
dc.language.isoruen
dc.publisherRussian Academy of Sciencesen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceМатематическая биология и биоинформатика2
dc.sourceMathematical Biology and Bioinformaticsen
dc.subjectENTROPYen
dc.subjectHEALTH STATUSen
dc.subjectINDEX OF DETERMINATIONen
dc.subjectMODELen
dc.subjectMULTIDIMENSIONAL RANDOM VARIABLEen
dc.subjectNON-COMMUNICABLE DISEASESen
dc.subjectPOPULATIONen
dc.subjectRISK FACTORen
dc.subjectVARIANCEen
dc.titleAssessment of health status of a population on the basis of entropy modelingen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.rsi23875226-
dc.identifier.doi10.17537/2015.10.206-
dc.identifier.scopus85011032024-
local.contributor.employeeTyrsin, A.N., Ural Federal University named after the first President of Russia B.N. Yeltsin, 19 Mira street, Ekaterinburg, 620002, Russian Federationen
local.contributor.employeeKalev, O.F., South Ural State Medical University, 64 Vorovskogo street, Chelyabinsk, 454092, Russian Federationen
local.contributor.employeeYashin, D.A., South Ural State Medical University, 64 Vorovskogo street, Chelyabinsk, 454092, Russian Federationen
local.contributor.employeeLebedeva, O.V., Chelyabinsk State University, 129 Bratyev Kashirinykh street, Chelyabinsk, 454001, Russian Federationen
local.description.firstpage206
local.description.lastpage219
local.issue1
local.volume10
local.contributor.departmentUral Federal University named after the first President of Russia B.N. Yeltsin, 19 Mira street, Ekaterinburg, 620002, Russian Federationen
local.contributor.departmentSouth Ural State Medical University, 64 Vorovskogo street, Chelyabinsk, 454092, Russian Federationen
local.contributor.departmentChelyabinsk State University, 129 Bratyev Kashirinykh street, Chelyabinsk, 454001, Russian Federationen
local.identifier.pure1482322-
local.identifier.eid2-s2.0-85011032024-
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