ABSTRACT
This
project, Expert System on Avian and Fever Diagnosis, is a software system
tailored for use in the Diagnosis of Avian Fever Diseases. The software 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 and also Present expert system uses inference rules and plays an important
role that will provide certain methods of diagnosis for treatment. The software
has been designed to be interactive with audio capability eliciting from the
user if they have symptoms of the diseases. The user response helps the expert
system to determine the level at which the disease is present. The user is
further advised on what next to do. This software is implemented in visual C#
programming environment, due to its appropriateness and user-friendliness.
TABLE
OF CONTENTS
Title Page
Abstract
Table of Contents
List of Figures
List of Tables
CHAPTER
1: Introduction
1.0 Introduction
1.1 Statement of the Problem
1.2 Objectives
1.3 Significance of the study
CHAPTER
2: Literature Review
2.0 Introduction
2.lTheoretical Background
2.1.1 Rule —Based Systems
2.1.2 Knowledge -Based Systems
2.1.3 Neural Networks
2.1.4 Fuzzy Expert Systems
2.2 Review of Related Literature
2.2.1 System Architecture and their
Application
2.2.2 Intelligent Agents and their
Application
2.2.3 Ontology and their Application
2.2.4 Database Methodology
2.2.5 Discussions Based on the
Methodology
2.2.6 Knowledge Acquisition
2.2.7 Knowledge Representation
2.3 Summary
CHAPTER
3: System Analysis and Design
3.0 Introduction
3.0.lMethodology
3.1 Description of the existing system
3.2 Analysis of the proposed system
3.3 Design of the proposed system
3.4 Database Design
CHAPTER
4: System Implementation
4.0 Introduction
4.1 Choice of Development Environment
4.2 Implementation Architecture
4.3 Software Testing
4.4 Documentation
4.4.1 User Manual
4.4.2 Soft code Listing
CHAPTER
5: Summary, Conclusion, Recommendations
5.0 Summary
5.1 Conclusion
5.2 Recommendation
Reference
Appendices
CHAPTER ONE
INTRODUCTION
1.0 Introduction
Detecting
diseases at early stage can help to overcome and treat them appropriately.
Identifying the treatment accurately depends on the method that is used in
diagnosing the diseases. A Diagnosis Expert System (DExS) can help a great deal
in identifying those diseases and describing methods of treatment to be carried
out taking into account the user capability in order to deal and interact with
expert system easily and clearly. Present expert system uses inference rules
and plays an important role that will provide certain methods of diagnosis for
treatment.
Computer-based
methods are increasingly used to improve the quality of medical services.
Artificial Intelligence (Al) is the area of computer science focusing on,
creating expert machines that can engage on behaviors that humans consider
intelligent. The proposed system DExS is for dealing with the problem of a
disease diagnosis as an’ expert system.
An
expert system is a system that employs human knowledge captured in a computer
to solve problems that ordinarily require human expertise. Expert system seeks
and utilizes relevant information from their human users and from available
knowledge bases in order to make recommendations. The data and knowledge of’
DExS are collected from different sources. The first primary source is the
medical knowledge of expert doctors. The second source is from specialized
databases, books and a few electronic websites.
On
the other hand Avian Fever also called Bird flu or avian influenza is a viral
infection that can also infect humans and other animals. Most forms of the
virus are restricted to birds. Currently, the virus isn’t known to spread via
human-tohuman contact. Still, some experts’ worry that H5N1 may pose a risk of
becoming a pandemic threat to humans.
One
may have H5N1 if you experience typical flu-like symptoms such as:
·
Cough
·
Diarrhea
·
Fever (over 100.4°F)
·
Headache
·
Muscle aches
·
Malaise
·
Runnynose
·
Sore throat
1.1
Statement
of the Problem
I.
It is well known that developing
countries like Nigeria are facing a lot of shortage of medical expertise in
medical science. Due to this, they are unable to provide good medical services
to the teaming population. Patients also have to stay in long queues for
medical attention.
II.
Improper or wrong diagnosis has been
known to be the bane of our hospitals. This has led to the, death of large
number of people.
III.
Health care facility should be
accessible by all at all times. But some of the people that should access these
facilities are far removed from these facilities. More so, in the few available
facilities, qualified medical personnel are always key issues that need urgent
redress.
IV.
In view of the foregoing, it would be of
great necessity to provide a computerized system that will provide a
complementary medical service, such as medical disease diagnosis in places
where accessibility is a problem as well as health care facilities where
qualified experts are lacking.
1.2 Objectives of the Study
i.
The major objective of this work is to
develop an expert system on diagnosis of communicable diseases. It also targets
towards contributing to academic research work.
ii.
It is also to ascertain whether the
diseases could be diagnosed based on signs and symptoms.
iii.
It will also examine a patient based on
simple clinical signs, and to improve family and community health.
iv.
Also, because human disease diagnosis is
a complicated process and requires high level of expertise. Any attempt of
developing an expert system will eliminate the problems of wrong medical
diagnosis.
1.3 Significance of the Study
i.
It will help to retain the skill of an
expert medical doctor in case of any eventuality.
ii.
It can support academic development.
iii.
It can be useful in many hospitals, both
private and government, cases where the expert is not on seat.
iv.
It can also be used in the laboratory
for quick research work.
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