Issue:InterCriteria approach to Behterev's disease analysis

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Title of paper: InterCriteria approach to Behterev's disease analysis Author(s): Bistra Zaharieva Intelligent Systems Department Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev str., Bl. 2, 1113 Sofia, Bulgaria bissi_5@yahoo.com Lyubka Doukovska Intelligent Systems Department Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev str., Bl. 2, 1113 Sofia, Bulgaria doukovska@iit.bas.bg Irina Radeva Intelligent Systems Department Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev str., Bl. 2, 1113 Sofia, Bulgaria iradeva@iit.bas.bg Simeon Ribagin Bioinformatics and Mathematical Modelling Department, IBPhBME - Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., block 105, Sofia 1113, Bulgaria sim_ribagin@mail.bg Presented at: 21st International Conference on Intuitionistic Fuzzy Sets, 22–23 May 2017, Burgas, Bulgaria Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 23, 2017, Number 2, pages 119—127 Download:  PDF (157 Kb  Kb, File info) Abstract: In the presented paper we are analysing a dataset of Behterev's disease patients, using the approach of Intercriteria Analysis, based on intuitionistic fuzzy sets and index matrices. The approach aims at the detection of dependencies within a set criteria against which a set of instances have been evaluated. In this paper, we make the consequent step in a series of applied research, aimed at approbating this novel approach to medical data, aimed at the discovery of correlations between important health indicators, based on available patients’ data. The selected set of health indicators comprises: physical functioning; role functioning based by physical conditional; bodily pain; general health status; vitality; social functioning; role functioning based by emotional conditional; and mental health. Keywords: InterCriteria Analysis, Bechterev's disease, Rheumatoid spondylitis, Ankylosing spondylitis. AMS Classification: 03E72. References: Atanassov, K. (1983). Intuitionistic fuzzy sets, VII ITKR's Session, Sofia, June, (in Bulgarian) Atanassov, K. (1986). Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20(1), 87–96. Atanassov, K. (1999). Intuitionistic Fuzzy Sets: Theory and Applications, Springer, Physica-Verlag, Heidelberg. Atanassov, K. (2012). On Intuitionistic Fuzzy Sets Theory, Springer, Berlin. Atanassov, K. (2104). InterCriteria decision making. A new approach for multicriteria decision making, based on index matrices and intuitionistic fuzzy sets, Issues in Intuitionistic Fuzzy Sets and Generalized Nets, 11, 1–8. Atanassova, V., Mavrov, D., Doukovska, L., & Atanassov, K. (2014). Discussion on the threshold values in the InterCriteria Decision Making approach, Notes on Intuitionistic Fuzzy Sets, 20(2), 94–99. Ball, J. (1971). Enthesopathy in rheumatoid and ankylosing spondylitis. Ann Rheum Dis 30(3), 213–223. Goldman, L., & Schafer, A. (2011). Goldman's Cecil Medicine, 24th ed. Philadelphia, PA, Elsevier Saunders, chap 273. InterCriteria Research Portal, http://www.intercriteria.net/publications. McHorney, C., Ware, J., Lu J., & Sherbourne, C. (1994). The MOS 36-Item Short-Form Health Survey (SF-36), III. Tests of data quality, scaling assumptions and reliability across diverse patient groups, Med Care, 32 (4), 40–66. Petrova, N. (2015). Role of kinesiotherapy to improve quality of life on patients with rheumatoid arthritis, PhD Thesis, The South-West University “Neofit Rilski”, Blagoevgrad, Bulgaria. Rudwaleit, M., Metter, A., Listing, J., Sieper, J., & Braun, J. (2006). Inflammatory back pain in ankylosing spondylitis: a reassessment of the clinical history for application as classification and diagnostic criteria. Arthritis Rheum, 54 (2), 569–578. Ware, J., Snow, K., Kosinski, M., & Gandek, B. (1993). SF-36® Health Survey Manual and Interpretation Guide, Boston, MA: New England Medical Center, The Health Institute. Ware, J., & Sherbourne, C. (1992). The MOS 36-Item Short-Form Health Survey (SF-36®): I. conceptual framework and item selection, Med Care, 30 (6), 473–483. http://www.arsmedica.bg/zabolyavaniya/revmatologiya/bolest-nabehterev- ankilozirasht-spondilit. http://zdravennavigator.bg/article/okolo-dushi-bylgariia/19454. # http://www.healthcentral.com/encyclopedia/hc/bechterews-disease- 3168676/. Citations: Issue:Some notes on the relationships between intuitionistic fuzzy sets and correlation analysis ‎ (← links) The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.