ABSTRACT
This project presents the design and
implementation of medical expert system, which is a system that is capable of
storing clinical data in diabetes management, such as blood glucose measurements,
insulin injection doses, hypoglycemic events, dietary intake and exercise
activity. These stored records eventually will allow the doctors to monitor
their patients remotely. Furthermore, based on these records and some expert
knowledge, the system will give recommendations to the patients about insulin
dose adjustment.
ORGANIZATION OF WORK
The organization of work entails the arrangement of the
research work from chapter one to the last chapter. It includes the following: Chapter one is the introductory part of the research work, aims and objectives, purpose of study, significance of the study scope/delimitation, limitation constraints, assumption of study, definition of terms.
Chapter two contains the review of relevant literature of though concerning the research work.
Chapter three contains the description and analysis of the existing system, other sub-topic includes; fact finding method/methodology, organizational structure/organogram, objectives of the existing system, input, process and output analysis, information flow diagram, problems of the existing system, justification for the new system.
Chapter four contains the design of the new system. With the following sub-topic; design standard, output specification and design, file design, procedure chart, system flowchart, system requirements, hardware requirements, software requirements, operational requirements, personnel requirements.
Chapter five describes the implementation of the research work, with the following sub-topics: design standard, program design, program flowchart, psuedocode, coding, test data/test run, user training. An overview, cutover process.
Chapter six contains the documentation with the following sub-topic; program documentation, user documentation.
Chapter seven contains the
recommendation, summary and conclusion of the research work.
LIST OF FIGURES
PROCEDURE CHART
SYSTEM FLOWCHART
PROGRAM FLOWCHART
TABLE OF CONTENT
Title page
Certification
Dedication
Acknowledgement
Abstract
Organization of work
List of figures
Table of content
CHAPTER ONE
- Introduction
1.1. Statement of problems
1.2. Aim and objectives
- Purpose of the study
1.4. Significance of the study
1.5. Scope/delimitation
1.6. Limitation/constraints
1.7. Assumption of study
1.8. Definition of terms
CHAPTER TWO
2.0. Review of relevant literature
Chapter three
- Description and analysis of the existing system
3.1. Fact finding method/methodology
3.3. Objectives of the existing system
3.4. Input, process and output analyses
3.4.1. Input analysis
3.4.2. Process analysis
3.4.3. Output analysis
3.5. Information flow diagram
3.6. Problems of the existing system
3.7. Justification for the new system
CHAPTER FOUR
4.0. Design of the new system
4.1. Design standards
4.2. Output specification and design
4.3. Input specification and design
- File design
- Procedure chart
4.5 system flowchart
4.6. System requirements
4.6.1. Hardware requirement
4.6.2. Software requirements
4.6.3. Operational requirements
4.6.4. Personnel requirements
CHAPTER FIVE
5.0. Implementation
- Design standard
5.2. Program design
5.2.1. Program flowchart
5.2.2. Pseudocode
5.3. Coding
5.4. Test data/test run
5.5. User training
5.6. Cutover process
CHAPTER SIX
- Documentation
6.1. Program documentation
6.2. User documentation
Chapter seven
7.0. Recommendation, summary and conclusion
7.1. Recommendation
7.2. Summary
7.3. Conclusion
References
CHAPTER ONE
1.0 INTRODUCTION
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 a read and interpret the knowledge for it to be used.
A computer program designed to model the problem solving ability of a human expert (Durkin 1994). A system that uses human knowledge captured in a computer to solve problems that ordinarily require human expertise (Turban and Aroson, 2001).
An intelligent computer program that uses knowledge and inference procedures to solve problems that was difficult enough to acquire significant human expertise for their solutions (Fiegenbayunm).
Expert systems typically have a number of several components. The knowledge base is the component that contains the knowledge obtained from the domain expert. Normally the way of representing knowledge is 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.
There are several major application areas of expert systems such as agriculture, education, environment, law, manufacturing, medicine power systems etc. The most commonly used among practitioners are agriculture, education, environment and medicine expert system due to the maturity of the field by revealing the acceptance of the technology by the commercial sectors.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       1.1. STATEMENT OF PROBLEMS
 The computers are indispensable throughout the research process. The role of computer becomes more important when the research is on a large sample. Data can be stored in computers for immediate use or can be stored in auxiliary memories like floppy disk, compact disk, universal serial buses ( pen drives) or memory cards, so that the same can be retrieved later. The computers assist the researcher throughout different phases of research processes, which includes:
- Conceptual phase
- Empirical phase
- Analytic phase
- Dissemination phase.
Improving research process through the use of computers is by no means an easy feat as researchers needs to get the fact that computers can go along way to assist in the research process as would be seen in subsequent sections and chapters in this project work.
