Evaluation of Tuberculosis Screening Test using Fuzzy Expert System

Abstract

Tuberclause TB remains one of the world’s most deadly infectious diseases and arguably, the greatest menace to modern society in terms of morbidity and mortality. To choose the right treatment and to ensure a quality of life suitable for a specific patient condition, early and accurate diagnosis of TB is essential. It reduces disease and prevents deaths. It also contributes to reducing TB transmission. In recent times. Computer Science has played a significant role in the task of medical diagnosis. This thesis work focused on Fuzzy Expert System for TB diagnosis. It is simple to use, portable, low cost and makes TB diagnosis more rapid and accurate. It supports medical practitioners and assists researchers to deal with the vagueness, imprecision and time-consuming found in traditional laboratory diagnosis of TB, and provide accurate output based on the input data. This thesis, is a software system for use in the diagnosis of TB is an expert system with a database containing an expert knowledge. The user only uses it to determine whether he or she has any of the diseases within its domain, this software Systems “Tuberculosis diagnosis expert system” TB-DES was designed using OOP design pattern and implemented using Microsoft Visual IDE Tools. The various modules as described are integrated and implemented using server based database by demonstrating MS-SQL Server as backend data storage.