CHAPTER ONE
INTRODUCTION
This
chapter presents the introduction to design and implementation of a medical
diagnosis system for typhoid fever. It presents the introduction, theoretical
background, statement of the problem, aim and objectives of the study,
significance of the study, scope of the study, organization of the research and
definition of terms.
1.1 Theoretical Background
Medical
science field is an enormous field that includes a large number of expertise,
knowledge and information [1]. To get the good medical treatment is a right of
every country citizens. Due to the insufficient availability of experts in a
medical domain it is a big challenge for the country to provide good medical
services to their country people. The major advantage of Adoptive Medical
Diagnosis System using Expert System is that it gives the prescription as the
doctor ordered to the patient. Also this system can be used anytime and
anywhere. Also the proposed system can work as a human expert. When hospitals
are facing the problem of general expert this system can work as a human
expert. Expert systems technology has been widely adopted by many software
development companies and industry . Expert System is a kind of software that
runs in computer memory and works the same kind of interaction as a specialist
work and gives prescription to the patient as a specialist. Also you can say it
is a kind of program that asks you about your symptoms disease and provide
possible prescription matching of the symptoms like human expert. Expert system
is a part of Artificial Intelligence. The main purpose of expert systems is to
provide expert advice if the person seeks advice from system. Also it is a
computer program that can reproduce thinker activities [2].
Expert
or knowledge-based systems are the commonest type of AI systems in routine
clinical use. They contain medical knowledge, usually about a very specifically
defined task, and are able to reason with data from individual patients to come
up with reasoned conclusions. Although there are many variations, the knowledge
within an expert system is typically represented in the form of a set of rules.
Machine learning systems can create new medical knowledge Learning is seen to
be the quintessential characteristic of an intelligent being. Consequently, one
of the driving ambitions of AI has been to develop computers that can learn
from experience. The resulting developments in the AI sub-field of machine learning have resulted in
a set of techniques which have the potential to alter the way in which
knowledge is created. Applying expert systems to the diagnosis of typhoid fever
aids the assistance of patients in getting needed medical attention and
prescription even in the absence of a medical expert [3].
1.2 Statement of the problem
The
following problems necessitated this research study:
- It is
time consuming process to wait for doctors in hospitals before getting
medical attention.
- In the
absence of a doctor, patients cannot get medical treatment.
- Absence
of expert systems to aid in the diagnosis of typhoid fever.
- Absence
of proper record of typhoid fever patients
1.3 Aim and Objectives of the Study
The
aim of the study is to develop a medical diagnosis system for typhoid with the
following objectives:
- To
design a system that will aid capturing of symptoms and medical test
result to confirm the presence of typhoid.
- To
create a system that can be utilized as an expert system.
- To
design a system that will provide medical prescriptions after positive
diagnosis of the presence of typhoid.
- To
create a database that contains information with respect to typhoid
patients.
1.4 Significance of the Study
The
study is significant in the following ways:
- It
will serve as an expert system in the absence of a medical doctor.
- It
will aid the quick diagnosis of typhoid.
- It
will save time in the medical examination process
- It
will serve as a useful reference material to other scholars seeking
related information.
1.5 Scope of the Study
This
study covers Design and implementation of medical diagnosis of typhoid
using General Hospital Ikot Ekpene as a case study.
1.6 Organization of the Research
This
research work is organized into five chapters. Chapter one is concerned with
the introduction of the research study and it presents the preliminaries,
theoretical background, statement of the problem, aim and objectives of the
study, significance of the study, scope of the study, organization of the
research and definition of terms.
Chapter
two focuses on the literature review, the contributions of other scholars on
the subject matter are discussed.
Chapter
three is concerned with the system analysis and design. It presents the
research methodology used in the development of the system, it analyzes the
present system to identify the problems and provides information on the
advantages and disadvantages of the proposed system. The system design is also
presented in this chapter.
Chapter
four presents the system implementation and documentation, the choice of
programming language, analysis of modules, choice of programming language and
system requirements for implementation.
Chapter
five focuses on the summary, constraints of the study, conclusion and
recommendations are provided in this chapter based on the study carried out.
1.7 Definition of Terms
Artificial Intelligence: The branch of computer science
dealing with the mimicking of human-level intelligence in computer programs
they are also known as expert systems.
Diagnosis:
The identification of the nature and cause of illness
Typhoid fever: An
illness caused by the bacterium Salmonella typhi
Prescription: A
written order, as by physician, for the administration of a medicine or other
intervention
Patient: A
person who receives treatment from a doctor or medically educated person.
Therapy:
Treatment of disease or disability.
TOPIC: DESIGN AND IMPLEMENTATION OF MEDICAL DIAGNOSIS OF TYPHOID USING GENERAL HOSPITAL
Chapters: 1 - 5
Delivery: Email
Delivery: Email
Number of Pages: 68
Price: 3000 NGN
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