CHAPTER ONE
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 le. 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 aected 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.
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.
PURPOSE OF THE STUDY
- The study and apply AI technique in development of expert system
- To show how knowledge can be acquired and represented in intelligence system.
- To formulate an intelligence diagnosis system and easy diagnosis of breast cancer (dr cr)
- To demonstrated the use of logic programmes as a logical tool for developing intelligent system.
- To make a high level of expertise available to less qualified profession
- To enhance the ability of leading expert in medical diagnosis.
- To serve the knowledge and expertise of leading expert who eventually retire or die.
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.
- The study and apply AI technique in development of expert system
- To show how knowledge can be acquired and represented in intelligence system.
- To formulate an intelligence diagnosis system and easy diagnosis of breast cancer (dr cr)
- To demonstrated the use of logic programmes as a logical tool for developing intelligent system.
- To make a high level of expertise available to less qualified profession
- To enhance the ability of leading expert in medical diagnosis.
- To serve the knowledge and expertise of leading expert who eventually retire or die.
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.