TABLE OF CONTENTS
CHAPTER ONE
1.1
INTRODUCTION
1.2
STATEMENT OF THE PROBLEM
1.3 PURPOSE
OF THE STUDY
1.4 MOTIVATION
OF THE STUDY
1.5
SYSTEM IMPLEMENTATION AND TESTING
1.6 SYSTEM EVALUATION
1.7 ARTIFICIAL INTELLIGENCE (AI)
CHAPTER TWO
LITERATURE REVIEW
2.1 AI AND ITS BRANCHES
2.2 APPLICATION OF AI IN MEDICAL
DIAGNOSIS
2.3
EXPERT SYSTEM TECHNOLOGY
2.4
OVERVIEW OF CANCER DISEASES
2.5
SYMPTOMS AND DIAGNOSIS OF BREAST
CANCER
CHAPTER THREE
3.1 INTRODUCTION OF THE EXPERT SYSTEM FOR
3.2
KNOWLEDGE BASE DESIGN (KB)
3.3
DESIGN OF THE DATABASE (DB)
3.4
DESIGN OF THE INFERENCE ENGINE (IE)
3.5
DESIGN OF THE USER INTERFACE (UI)
CHAPTER FOUR
4.1
PROGRAM DEVELOPMENT
4.2
PROGRAM TESTING
4.3
SYSTEM SECURITY
4.4
USER’S GUIDE MANUAL
CHAPTER FIVE
5.0
CONCLUSION AND RECOMMENDATION
5.1 RESULT OBTAINED
5.2 LIMITATIONS AND CONSTRAINTS
5.3
RECOMMENDATION
5.4 CONCLUSION
REFERENCE
CHAPTER ONE
1.1 INTRODUCTION
Over the year the leading
cause of death in women aged between 35-54 years is breast cancer and second to
cardiovascular disease in order women (Logan 1975).
Mortality and incidence
rate vary throughout the world with England and wale making first and us
fourteen developing countries like Nigeria not left. In fact and two leading
cancer sites are breast and lung accounting for about 25% of all cancer such a
common disease in women and 1 and 12 women is affected in the U.S and 1
Nigeria. However its not surprising that there exist and long list of potential
risk factor these include nutrition Geography Ethic factor aging factor, age of
first birth being breast disorder decrease parity, unopposed ovarian cycling
menstrual experience lactation experience, viral hypothesis however hereditary
and family history of breast cancer are now considered to be two most important
risk factor majority of women now come to medical attention in developing
countries than in developing countries consequences the current emphasis is on
prevention and early diagnosis of breast cancer so as to minimizes the death
rate cause by it.
1.2 STATEMENT OF THE PROBLEM
The problem to be
addressed in this work is the development expert system for the diagnosis of
breast cancer artificial intelligence method are to the employed in the
development of the system and sub problem can be stated as follow
(a) The
need for early diagnosis of breast cancer.
(b) The
diagnosis of breast cancer require expert skill are short supply
© The
need to reduced and mortally and incidence rate by breast cancer
(d) Need to improve the overall quality of
health through early expert diagnosis of breast cancer.
1.3 PURPOSE
OF THE STUDY
1. The study and apply AI technique in
development of expert system
2. To show how knowledge can be acquired and
represented in intelligence system.
3. To formulate an intelligence diagnosis
system and easy diagnosis of breast cancer (dr cr)
4. To demonstrated the use of logic
programmes as a logical tool for developing intelligent system.
5. To make a high level of expertise
available to less qualified profession
6. To enhance the ability of leading expert
in medical diagnosis.
7. To serve the knowledge and expertise of
leading expert who eventually retire or die.
1.4 MOTIVATION
OF THE STUDY
The need for solving complex
diagnostic problem using AI method
(a) There is an increasing need to acquire and
store the knowledge of human experts in automated reasoning system in order to
assist the expert take decision faster and I the absence of the expert. This
study is a in that direction.
(b) Developing generic diagnostic problem
solving strategies. Diagnosis of breast cancer is chosen to demonstrate the
application of AI technique in solving medical diagnostic problem. Breast
cancer is a current topic issued in medicine since the cancer scourge assumed
global important. However the motivation for this study is high not in
diagnosis of breast cancer but also suggesting life expectancy and possible
treatment of breast cancer and other related disease.
METHODOLOGY
The study involve
computer based experiments requiring method discussed briefly.
(a) SYSTEM STUDY
This
involve elaborated study of the principle and techniques governing the
development and operated of automated reasoning system for solving complex
diagnosis problem the system is studies by learning its properties and concept
through incremental understanding and knowledge base development and updating
the inference engine reveal the pattern of reasoning adopted by the system to
make intelligence decision.
(b) SYSTEM DESIGN
AI
methodologies for knowledge representations and inference will be applied in
designing the system this method include.
i. Object
the conclusion that is defined by associate rule
ii. Attribute
a specific quality that with its rule help define the object
iii. Rules
of inference.
Knowledge
base can however be a list of object their associated rule and attribute inference
engine part of the knowledge based to found a situation that matches and its
involve.
i. Forward changing techniques data base
drive uses information that is provide to make through a network of logical and
or until the it reaches the terminal point.
ii. Background chaining technique (object
drive) reverse of forward chaining
iii. The rule value method request information
that has the greatest importance according to the current state of the system.
However backward changing
technique is employed for this study reference from chapter two three.
1.6
SYSTEM IMPLEMENTATION AND TESTING
This study will be
implemented with turbo prolong and c as a research logic programme tool and
tested with actual data from hospital and patient with breast cancer.
1.7 SYSTEM EVALUATION
A
system prototype or (software prototype) is first established the result of
diagnosis generated from the system will be compared with already expect
established diagnosis on patient with breast deviation from the with expected
result then the system debugged until output correspond with expected results
then the system can be analyze as perfect software water fall model from
diagnosis and treatment of breast cancer.
1.8 ARTIFICIAL INTELLIGENCE (AI)
Artificial
means man made intelligence according to the dictionary means “the capacity to
apprehend facts and prepositions and their relation and to reason about them
intelligence is related to the ability to recognize patterns draw conclusion
analyze complex system into simple elements and resolve contradiction. However,
AI can be define as the science of making machine do things that would require
intelligence if done by people (Alan Turning 1950). Moreso, AI can be defined
as the incorporation of intelligent thinking programs into machine which are
executed in solving knowledge intensive “specific” problems.
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