University of Hull logo

Fuzzy rule-based system applied to risk estimation of cardiovascular patients

Bohacik, Jan; Davis, Darryl

Authors

Jan Bohacik

Abstract

Cardiovascular decision support is one area of increasing research interest. On-going collaborations between clinicians and computer scientists are looking at the application of knowledge discovery in databases to the area of patient diagnosis, based on clinical records. A fuzzy rule-based system for risk estimation of cardiovascular patients is proposed. It uses a group of fuzzy rules as a knowledge representation about data pertaining to cardiovascular patients. Several algorithms for the discovery of an easily readable and understandable group of fuzzy rules are formalized and analysed. The accuracy of risk estimation and the interpretability of fuzzy rules are discussed. Our study shows, in comparison to other algorithms used in knowledge discovery, that classification with a group of fuzzy rules is a useful technique for risk estimation of cardiovascular patients.

Journal Article Type Article
Publication Date 2013
Journal Journal of multiple-valued logic and soft computing
Print ISSN 1542-3980
Electronic ISSN 1542-3999
Publisher Old City Publishing
Peer Reviewed Peer Reviewed
Volume 20
Issue 5-6
Pages 445-466
Institution Citation Bohacik, J., & Davis, D. (2013). Fuzzy rule-based system applied to risk estimation of cardiovascular patients. Journal of Multiple-Valued Logic and Soft Computing, 20(5-6), 445-466
Keywords Classification, Fuzzy rules, Linguistic variable elimination, Cumulative information estimations, Classification ambiguity, Medical data mining, Cardiology
Publisher URL http://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-20-number-5-6-2013/mvlsc-20-5-6-p-445-466/
Additional Information Authors' accepted manuscript of article published in: Journal of multiple-valued logic and soft computing, 2013, v.20, issue 5-6

Files




You might also like


Downloadable Citations