Diagnosis of heart disease patients using fuzzy classification technique

摘要: Data mining technique in the history of medical data found with enormous investigations that prediction heart disease is very important science. In it observed unstructured as heterogeneous and formed different attributes should be analyzed to predict provide information for making diagnosis a patient. Various techniques Mining have been applied patients. But, uncertainty was not removed available implemented by various authors. To remove data, an attempt made introducing fuzziness measured data. A membership function designed incorporated value fuzzified used patients.. Further, classify patients based on collected from field. Minimum Euclidean distance Fuzzy K-NN classifier training testing belonging classes. It suits well compared other classifiers parametric techniques.