IJMTES – FUZZY RELATIONAL EQUATION FOR PREDICTING DIABETIC NEPHROPATHY

Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : Dr.S.Sapna

Volume 01 Issue o6   Year 2014  

ISSN no:  2348-3121 

Page no: 15-18

Abstract— Fuzzy Relational Equation is used to derive medical knowledge from the clinical data which consist of two fuzzy relations on a set of patient and a set of propositions that represent symptoms or diagnosis. In this paper the symptoms are taken along with risk factors to identify the patients suffering from diabetic nephropathy. Fuzzy Systems are being used for solving a wide range of problems in different application domain. Fuzzy Systems allow us to introduce the learning and adaptation capabilities. The fuzzy set framework has been used in several different processes of diagnosis of disease. Fuzzy logic is a computational pattern that provides a mathematical tool for dealing with the uncertainty and the imprecision typical of human reasoning. Fuzzy relational between the symptoms and risk factors for Diabetic based on the expert’s medical knowledge and also related complications due to some common disorder are considered for prediction. This proposed method is an effort to closely imitate a physician’s insight of symptom-disease relations and his approximate reasoning for decision making.

Keywords— Diabetic, Fuzzy logic, Fuzzy Relational Equation, nephropathy.

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