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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Печать: 1064-2315
ISSN Онлайн: 2163-9337

Выпуски:
Том 52, 2020 Том 51, 2019 Том 50, 2018 Том 49, 2017 Том 48, 2016 Том 47, 2015 Том 46, 2014 Том 45, 2013 Том 44, 2012 Том 43, 2011 Том 42, 2010 Том 41, 2009 Том 40, 2008 Том 39, 2007 Том 38, 2006 Том 37, 2005 Том 36, 2004 Том 35, 2003 Том 34, 2002 Том 33, 2001 Том 32, 2000 Том 31, 1999 Том 30, 1998 Том 29, 1997 Том 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v41.i5.80
pages 70-79

Computer-Based System of Analysis of Erythrocyte Sedimentation Rate Factors at Brain Gliomas

Alexander V. Palagin
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kyiv, Ukraine
Nina Ya. Gridina
Academician A.P. Romodanov Institute of Neurosurgery of the Academy of Medical Sciences of Ukraine, Kiev, Ukraine
Anatoliy M. Gupal
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev, Ukraine
Andrey L. Tarasov
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev, Ukraine

Краткое описание

The efficient method of the weighted estimate of the optimal parameters of the Bayesian procedure of recognition of inflammatory processes by the erythrocyte sedimentation rate (ESR) is developed. The graphical method for determining the diagnoses by the ESR factors is realized.