Development of Fuzzy Logic-Based Model for Diagnosis of Hepatitis B

Abstract

Hepatitis B is an infection of the liver by the hepatitis B virus. According to Nigerian treatment guidelines, it is estimated that about 23 million people in Nigeria are currently affected with the disease. It is a key worldwide health problem. This paper is necessitated with the need to develop a fuzzy logic-based model for proper diagnosis of the virus hepatitis B using blood tests. An extensive interview was conducted with a licenced medical personnel at the federal polytechnic Ile Oluji medical centre located at Ondo state, Nigeria. A fuzzy logic-based system is untaken which is used to simulate the diagnosis of hepatitis B in humans using 3turple record which are HBsAg (Hepatitis B surface antigen), anti-HBs or HBsAb (Hepatitis B surface antibody) and anti-HBc or HBcAb (Hepatitis B core antibody). Triangular membership function were used to fuzzify both inputs and outputs while the fuzzy inference engine was used to develop the rules using MATLAB fuzzy logic toolbox software. The model will help in proper diagnosis of the virus and steps to be taken for treatment.