An Improved Method for Disease Prediction Using Fuzzy Approach

摘要: Data mining is a process of extracting useful information from the huge amount data. Mining has great scope in field medicine. This article deals with working on PIMA and Liver-disorder datasets. Many researchers have proposed use K-nearest neighbor (KNN) algorithm for diabetes disease prediction. Some different approach by using K-means clustering preprocessing then KNN classification. These approaches resulted poor classification accuracy or In our work we developed two methods first one fuzzy c-means followed classifier second to improve We are successful obtaining better results than existing given Our produced result one. Classification carried out ten folds cross-validation technique.