A Diagnostic Fuzzy Rule-Based System for Congenital Heart Disease

In this study, fuzzy rule-based classifier is used for the diagnosis of congenital heart disease. Congenital heart diseases are defined as structural or functional heart disease. Medical data sets were obtained from Pediatric Cardiology Department at Selcuk University, from years 2000 to 2003. Firstly, fuzzy rules were generated by using medical data. Then the weights of fuzzy rules were calculated. Two different reasoning methods as “weighted vote method” and “singles winner method” were used in this study. The results of fuzzy classifiers were compared. Keywords—Congenital heart disease, Fuzzy rule-based classifiers, Classification

[1]  Mansoor Zolghadri Jahromi,et al.  A proposed method for learning rule weights in fuzzy rule-based classification systems , 2008, Fuzzy Sets Syst..

[2]  Hisao Ishibuchi,et al.  Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining , 2004, Fuzzy Sets Syst..

[3]  Hisao Ishibuchi,et al.  Rule weight specification in fuzzy rule-based classification systems , 2005, IEEE Transactions on Fuzzy Systems.

[4]  Aytürk Keles,et al.  Expert system based on neuro-fuzzy rules for diagnosis breast cancer , 2011, Expert Syst. Appl..

[5]  Hisao Ishibuchi,et al.  Fuzzy data mining: effect of fuzzy discretization , 2001, Proceedings 2001 IEEE International Conference on Data Mining.

[6]  L. Mertens,et al.  Developments in echocardiographic techniques for the evaluation of ventricular function in children. , 2010, Archives of cardiovascular diseases.

[7]  Ludmil Mikhailov,et al.  Evolving fuzzy medical diagnosis of Pima Indians diabetes and of dermatological diseases , 2010, Artif. Intell. Medicine.

[8]  Juan Ruiz-Alzola,et al.  A fuzzy system for helping medical diagnosis of malformations of cortical development , 2007, J. Biomed. Informatics.

[9]  F. Herrera,et al.  A proposal on reasoning methods in fuzzy rule-based classification systems , 1999 .

[10]  Harvey Feigenbaum,et al.  Role of M-mode technique in today's echocardiography. , 2010, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[11]  Hisao Ishibuchi,et al.  Voting in fuzzy rule-based systems for pattern classification problems , 1999, Fuzzy Sets Syst..