<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/6204" mdate="2011-06-21 00:00:00"> <author>Ersin Kaya and Bulent Oran and Ahmet Arslan</author> <title>A Diagnostic Fuzzy RuleBased System for Congenital Heart Disease</title> <pages>232 - 235</pages> <year>2011</year> <volume>5</volume> <number>6</number> <journal>International Journal of Biomedical and Biological Engineering</journal> <ee>https://publications.waset.org/pdf/6204</ee> <url>https://publications.waset.org/vol/54</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>In this study, fuzzy rulebased 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 &amp;ldquo;weighted vote method&amp;quot; and &amp;ldquo;singles winner method&amp;quot; were used in this study. The results of fuzzy classifiers were compared.</abstract> <index>Open Science Index 54, 2011</index> </article>