Data mining is the extraction of hidden predictive information from large database which helps in predicting future trend and behavior thereby helping management make knowledge driven decisions. The data mining tool designed is to aid in quick access and retrieval of patients information to avoid time wasted in retrieving of such data from hospitals data warehouse. The data mining tool was also designed to discover hidden pattern that helps in decision making by management. Structured System Analysis and Design Methodology were used in the analysis of the existing system which also provided a guide for the design of the proposed system.
PHP programming language and my SQL was used in the creation of a data warehouse for patient‟s information and data mining tool for the retrieval of such information when needed.
Title Page
Approval Page
Certification Page
Dedication
Acknowledgement
Table of Contents
Abstract
CHAPTER ONE
INTRODUCTION
1.1 Background of Study
1.2 Statement of the Problem
1.3 Objectives of Study
1.4 Significance of Study
1.5 Scope of Study
1.6 Limitations of Study
1.7 Definition of related terms
CHAPTER TWO
REVIEW OF RELATED LITERATURE
2.1 Introduction
2.2 Review of related literature
CHAPTER THREE
SYSTEM ANALYSIS AND METHODOLOGY
3.1 System analysis
3.2 Method of data collection
3.2.1 Interviewing key officer
3.2.2 Observation method
3.2.3 Examination of document
3.3 Analysis of the existing system
3.3.1 Organization profile chart
3.3.2 Advantages of the existing system
3.3.3 Disadvantage of the existing system
3.4 Analysis of the proposed system
3.4.1 Justification of the proposed system
3.5 Methodology
3.5.1 Recommended appropriate mode
CHAPTER FOUR
SYSTEM DESIGN AND IMPLEMENTATION
4.1 Overview of design
4.2 Main menu
4.3 Program modules specification
4.3.1 Database design and specification
4.3.2 Input/output specification
4.3.3 Input form
4.3.4 Output form
4.3.4.1 Medical record system
4.4 Flowchart of the proposed solution
4.5 Choice and justification of programming language
4.6 System requirement
4.7 Implementation plan
4.7.1 Testing
4.7.2 Conversion
4.7.3 Training
4.8 Maintenance details
CHAPTER FIVE
SUMMARY, RECOMMENDATIONS, CONCLUSION
5.1 Summary
5.2 Review of achievements
5.3 Areas of application
5.4 Suggestion for further studies
5.5 Recommendation
5.6 Conclusion
References
Appendix A (Program codes)
Appendix B (Sample, output forms
Design And Implementation Of Data Mining For Medical Record System. (n.d.). UniTopics. https://www.unitopics.com/project/material/design-and-implementation-of-data-mining-for-medical-record-system/
“Design And Implementation Of Data Mining For Medical Record System.” UniTopics, https://www.unitopics.com/project/material/design-and-implementation-of-data-mining-for-medical-record-system/. Accessed 25 November 2024.
“Design And Implementation Of Data Mining For Medical Record System.” UniTopics, Accessed November 25, 2024. https://www.unitopics.com/project/material/design-and-implementation-of-data-mining-for-medical-record-system/
Here’s a typical structure for Design And Implementation Of Data Mining For Medical Record System research projects:
- The title page of Design And Implementation Of Data Mining For Medical Record System should include the project title, your name, institution, and date.
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- The introduction of Design And Implementation Of Data Mining For Medical Record System should provide the background information, outline the research problem, and state the objectives and significance of the study.
- Review existing research related to Design And Implementation Of Data Mining For Medical Record System, identifying gaps the study aims to fill.
- The methodology section of Design And Implementation Of Data Mining For Medical Record System should describe the research design, data collection methods, and analytical techniques used.
- Present the findings of the Design And Implementation Of Data Mining For Medical Record System research study using tables, charts, and graphs to illustrate key points.
- Interpret Design And Implementation Of Data Mining For Medical Record System results, discussing their implications, limitations, and potential areas for future research.
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