Heart Disease Prediction System Using Data Mining Technique by Fuzzy K-NN Approach

摘要: Data mining technique in the history of medical data found with enormous investigations resulted that prediction heart disease is very important science. The from has been as heterogeneous and it seems various forms should be interpreted to predict a patient. Various techniques Mining have applied patients disease. But, uncertainty was not removed available mining. To remove uncertainty, made an attempt by introducing fuzziness measured data. A membership function designed incorporated value uncertainty. Further, classify based on attributes collected field. Minimum distance K-NN classifier among groups. It Fuzzy suits well compared other classifiers parametric techniques.