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Matematicheskaya Biologiya i Bioinformatika, 2013, Volume 8, Issue 1, Pages 182–224 (Mi mbb140)  

This article is cited in 2 scientific papers (total in 2 papers)

Data mining

Logical and Statistical Analysis of Relationship Between Clinical and Laboratory Indices and Disturbances of Cerebral Blood Circulation in Elderly Patients with Chronic Ischemia of the Brain

A. V. Kuznetsovaa, I. V. Kostomarovab, O. V. Senkoc

a Emanuel Institute of Biochemical Physics, Russian Academy of Sciences, Russia, 117997, Moscow, Kosygina, 4
b Department of Pirogov Russian National Research Medical University “Clinical and Research Center of Gerontology” of Russian Ministry of Health, Moscow, 1st Leonova St., 16, 129226
c Institution of Russian Academy of Sciences Dorodnicyn Computing Centre of RAS, Russia, 119991, Moscow, Vavilova, 40
References:
Abstract: The paper presents results of studies, aimed to asses relation between a set of clinical and laboratory indices and risk of transient ischemic attacks (TIA) and ischemic stroke in patients from elder age groups with chronic cerebral ischemia (CCI). The studies were based on pattern recognition techniques and data mining method implementing optimal statistically valid partitioning of feature space. The risk factors of transient ischemic attack were found: lipidic spectrum, blood cell counts, biochemical indices, type of hyperlipidemia, II-III stages of CCI, left ventricular hypertrophy by electrocardiogram, ultrasonic scanning features of thyroid diffusive changes. It was found that exactness of TIA prediction with the help of pattern recognition techniques achieves 81.5% if all features forming basic regularities are used. In patients that previously suffered from TIA set of risk factors for further ischemic stroke includes: CHD with ciliary arrhythmia, breaks of rhythm, hyperglycemia. Forecasting ability of pattern recognition technique is 77%.
Key words: risk forecasting factors, transitory ischemic attack, ischemic stroke, lipid metabolism, intellectual data analysis, data mining, recognition.
Received 05.03.2012, Published 06.05.2013
Document Type: Article
UDC: 577.213:576.362:579.23
Language: Russian
Citation: A. V. Kuznetsova, I. V. Kostomarova, O. V. Senko, “Logical and Statistical Analysis of Relationship Between Clinical and Laboratory Indices and Disturbances of Cerebral Blood Circulation in Elderly Patients with Chronic Ischemia of the Brain”, Mat. Biolog. Bioinform., 8:1 (2013), 182–224
Citation in format AMSBIB
\Bibitem{KuzKosSen13}
\by A.~V.~Kuznetsova, I.~V.~Kostomarova, O.~V.~Senko
\paper Logical and Statistical Analysis of Relationship Between Clinical and Laboratory Indices and Disturbances of Cerebral Blood Circulation in Elderly Patients with Chronic Ischemia of the Brain
\jour Mat. Biolog. Bioinform.
\yr 2013
\vol 8
\issue 1
\pages 182--224
\mathnet{http://mi.mathnet.ru/mbb140}
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  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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