New Hybrid Hepatitis Diagnosis System Based on Genetic Algorithm and Adaptive Network Fuzzy Inference System

In this paper, a hybrid method for diagnosing hepatitis diseases is introduced. The proposed method consists of two stages: the feature selection and theclassification. The feature selection has been performed by Genetic algorithm (GA) as a fast and common intelligent method for feature selection to reduce the number ofemployed features. For the classification, a major intelligent classification method, Adaptive Network FuzzyInference System (ANFIS), is employed. In this way, ahybrid method of GA-ANFIS is developed and evaluated via a set of experimental data. The results arerepresentative of the out- performance the proposed methods with respect to other methods in the literature considering the classification accuracy as the comparison tool.

Keywords:

Adaptive Network Fuzzy Inference System (ANFIS) , Classification , Feature selection , Genetic algorithm (GA)