AN EXPERT SYSTEM FOR THE DIAGNOSIS OF CANCER

AN EXPERT SYSTEM FOR THE DIAGNOSIS OF CANCER

ABSTRACT

This work is aimed at the design and development of an expert system for the diagnosis of cancer from potential patients.  As we all know cancer is a deadly disease that comes in different ways and in different platforms, most people often take cancer symptoms for a normal cold until it has gotten to a point that is really intense thereby leading to disability or death. Nowadays, this disease is preventable and curable at low cost and low risk when an accurate diagnosis is done in due time, since it is the neoplasm with the highest prevention potential. The adopted methodology used in the expert system is the Structured System Analysis and Design methodology (SSADM) in conjunction with Waterfall Development model to implement the work, because of the following reasons; Design errors are captured before any software is written saving time during the implementation phase also it is an excellent methodology when requirements are thoroughly and accurately defined. This expert system will be used for preliminary diagnosis of cancer, thereby reducing congestion and the time it takes doctors to attend to all patients.

CHAPTER ONE

INTRODUCTION

1.1       BACKGROUND OF STUDY

Artificial intelligence has received extensive attention in recent years. An important branch of artificial intelligence is known as expert systems, which are designed to represent and employ the knowledge of an expert in specific fields in problem solving. An expert system is a computer application that solves complicated problems that would otherwise require extensive human expertise. To do so, it simulates the human reasoning process by applying specific knowledge and interfaces. Expert systems also use human knowledge to solve problems that normally would require human intelligence. These expert systems represent the expertise knowledge as data or rules within the computer. These rules and data can be called upon when needed to solve problems. Books and manual guides have a tremendous amount of knowledge but a human has to read and interpret the knowledge for it to be used. Expert systems have been widely applied in diverse fields such as science, engineering, diagnosis, and finance to facilitate decision making, particularly in commercial enterprises, governmental agencies and military institutions. At present, the technology of expert systems is undergoing very rapid growth and is being applied to a wide spectrum of practical problems. Expert systems typically have several components which are knowledge-base, inference engine, user interface. The knowledge base is the component that contains the knowledge obtained from the domain expert and normally the way of representing this knowledge is by using rules. The inference engine is the component that manipulates the knowledge found in the knowledge base as needed to arrive at a result or solution.

The user interface is the component that allows the user to query the system and receive the results of those queries. Many Expert Systems also have an explanation facility which explains why a question was asked or how a result or solution was obtained. Successful expert systems have a well-defined focus and confined to a specific domain. Knowledge required to identify cancer could be well modeled in an expert system. Cancer is the uncontrolled growth of abnormal cells in the body. Cancerous cells are also called malignant cells. Cells are the building blocks of living things. Cancer grows out of normal cells in the body. Normal cells multiply when the body needs them, and die when the body doesn't need them. Cancer appears to occur when the growth of cells in the body is out of control and cells divide too quickly. It can also occur when cells forget how to die. There are many different kinds of cancers. Cancer can develop in almost any organ or tissue, such as the lung, colon, breast, skin, bones, or nerve tissue. Information gotten from Patra, P.Santosh. Sahu, Dipti. Mandal, Indrajit" An Expert System for Diagnosis of Human Diseases", 2010 International Journal of Computer Applications (0975-8887) Volume 1 - No. 13.

AN EXPERT SYSTEM FOR THE DIAGNOSIS OF CANCER

Chapters: 1 - 5
Delivery: Email

Number of Pages: 75

Price: 3000 NGN

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