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Issue:InterCriteria approach to Behterev's disease analysis

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http://ifigenia.org/wiki/issue:nifs/23/2/119-127
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 IFS", Volume 23, 2017, Number 2, pages 119—127
Download:  PDF (157 Kb  Kb, 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.
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