Diabetes Diagnostic Intelligent Information System

Abstract

In the present paper, we deal with the design and development of Soft Computing base Information system using the concept of generating Linguistic Strings through non-linear Fuzzy Membership Functions for detecting the classification criterion of Diabetes. The proposed system, on one hand, will help the patient in adopting a proper strategy to evaluate his present sugar level and follow a balanced lifestyle on the other hand it will provide a quantitative base to medical experts in detecting the disease and suggesting proper action to the patients. The proposed information system is tested on real-life data with a satisfactory result as per the medical experts.