Design and development of Fuzzy Expert System for diagnosis of hypertension

Abstract

The aim of this study is to design a Fuzzy Expert System (FES) for diagnosis of hypertension risk for patients aged between 20’s, 30’s and 40’s years and is divided into male and female gender. The input data is collected from a total of 10 people which consists of male and female with different working background. The parameters used as input for this fuzzy expert system were age, Body Mass Index (BMI), blood pressure and heart rate. Hypertension is diagnosed if blood pressure is over than 140/90mmHg. Hypertension is called the silent killer because it has no symptoms and can cause serious disease if left untreated for a long time [8]. Thus, an intelligent and accurate diagnostic system is needed in order to threat the hypertension patient. In this study, we have proposed an expert system using fuzzy for diagnosis of hypertension. The diagnosis process, linguistic variables and their values were modeled based on expert’s knowledge and from existing literature. It is expected that our proposed Fuzzy Expert System can provide a faster, cheaper and more accurate result compared with other traditional methods.