Prediction of coronary arteriosclerosis in stable coronary heart disease

dc.contributor.authorBazan, Jan. G.
dc.contributor.authorBazan-Socha, Stanisława
dc.contributor.authorBuregwa-Czuma, Sylwia
dc.contributor.authorPardel, Przemysław W.
dc.contributor.authorSokolowska, Barbara
dc.date.accessioned2014-11-14T17:40:30Z
dc.date.available2014-11-14T17:40:30Z
dc.date.issued2012
dc.descriptionpl_PL.UTF-8
dc.description.abstractThe aim of the study was to assess the usefulness of classification methods in recognizing cardiovascular pathology. From the medical point of view the study involves prediction of coronary arteriosclerosis presence in patient with stable angina using clinical data and electrocardiogram (ECG) Holter monitoring records. On the grounds of these findings the need for coronary interventions is determined. An approach to solving this problem has been found in the context of rough set theory and methods. Rough set theory introduced by Zdzislaw Pawlak during the early 1980s provides the foundation for the construction of classifiers. From the rough set perspective, classifiers presented in the paper are based on a decision tree calculated on the basis of the local discretization method. The paper includes results of experiments that have been performed on medical data obtained from II Department of Internal Medicine, Jagiellonian University Medical College, Krakow, Poland.pl_PL.UTF-8
dc.description.sponsorshipThis work was supported by the grant N N516 077837 from the Ministry of Science and Higher Education of the Republic of Poland, the Polish National Science Centre (NCN) grant 2011/01/B/ST6/03867 and by the Polish National Centre for Research and Development (NCBiR) grant No. SP/I/1/77065/10 in frame of the the strategic scientific research and experimental development program: ``Interdisciplinary System for Interactive Scientific and Scientific-Technical Information''.pl_PL.UTF-8
dc.identifier.citationPraca opublikowana jako: Bazan, J., G., Bazan-Socha, S., Buregwa-Czuma, S., Pardel, P., Sokolowska, B.: Prediction of coronary arteriosclerosis in stable coronary heart disease, In S. Greco, B. Bouchon-Meunier, G. Coletti, M. Fedrizzi, B. Matarazzo, and R. R. Yager (Eds.), Advances in Computational Intelligence , volume 298 of Communications in Computer and Information Science, pages 550-559. Springer, 2012. Oryginalna publikacja jest dostępna na stronie www.sprigerlink.com (The original publication is available at www.sprigerlink.com).
dc.identifier.urihttp://repozytorium.ur.edu.pl/handle/item/669
dc.language.isoengpl_PL.UTF-8
dc.publisherSpringer-Verlagpl_PL.UTF-8
dc.subjectrough setspl_PL.UTF-8
dc.subjectdiscretizationpl_PL.UTF-8
dc.subjectclassifierspl_PL.UTF-8
dc.subjectstable angina pectorispl_PL.UTF-8
dc.subjectmorbus ischaemicus cordispl_PL.UTF-8
dc.subjectECG Holterpl_PL.UTF-8
dc.titlePrediction of coronary arteriosclerosis in stable coronary heart diseasepl_PL.UTF-8
dc.typeconferenceObjectpl_PL.UTF-8
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