Prognosis of Diabetes Using Data mining Approach-Fuzzy C Means Clustering and Support Vector Machine

摘要

Clinical decisionmaking needs available information to be the guidance for physicians. Nowadays, data mining method is applied in medical research in order to analyze large volume of medical data. This study attempts to use data mining method to analyze the databank of Diabetes disease and diagnose the Diabetes disease. This study involves the implementation of FCM and SVM and testing it on a set of medical data related to diabetes diagnosis problem. The medical data is taken from UCI repository, consists of 9 input attributes related to clinical diagnosis of diabetes, and one output attribute which indicates whether the patient is diagnosed with the diabetes or not. The whole data set consists of 768 cases.