An Effective Test Methods for Identifying Diabetes Level by Fuzzy Inference System

Abstract

Data mining is playing the most powerful technique in biological research. Nowadays, we are planning to check in our health condition through the device or manually calculated by food nutrient table/protein intake per day. In this type of data construct fuzzy membership functions from diabetics related data collected from the hospitals and diagnoses in the medical application area of diabetics is being presented. This data consists of six variables collected from the hospital in kanyakumari district. Based on the variables the risk of diabeties can be diagnosed. The aim of this paper is to analyze the diabeties level by Mamdani’s fuzzy inference system which is used to the reasonable results verify the validity of our method.