Design and implementation of data mining for medical record system
Table Of Contents
- 1.1Background of Study1.2 Statement of the Problem1.3 Objectives of Study1.4 Significance of Study1.5 Scope of Study1.6 Limitations of Study1.7 Definition of related termsCHAPTER TWOREVIEW OF RELATED LITERATURE2.1 Introduction2.2 Review of related literatureCHAPTER THREESYSTEM ANALYSIS AND METHODOLOGY3.1 System analysis3.2 Method of data collection3.
- 2.1Interviewing key officer3.
- 2.2Observation method3.
- 2.3Examination of document3.3 Analysis of the existing system3.
- 3.1Organization profile chart3.
- 3.2Advantages of the existing system3.
- 3.3Disadvantage of the existing system3.4 Analysis of the proposed system3.
- 4.1Justification of the proposed system3.5 Methodology3.
- 5.1Recommended appropriate modeCHAPTER FOURSYSTEM DESIGN AND IMPLEMENTATION4.1 Overview of design4.2 Main menu4.3 Program modules specification4.
- 3.1Database design and specification4.
- 3.2Input/output specification4.
- 3.3Input form4.
- 3.4Output form4.3.
- 4.1Medical record system4.4 Flowchart of the proposed solution4.5 Choice and justification of programming language4.6 System requirement4.7 Implementation plan4.
- 7.1Testing4.
- 7.2Conversion4.
- 7.3Training4.8 Maintenance detailsCHAPTER FIVESUMMARY, RECOMMENDATIONS, CONCLUSION5.1 Summary5.2 Review of achievements5.3 Areas of application5.4 Suggestion for further studies5.5 Recommendation5.6 ConclusionREFERENCESAPPENDIX A (Program codes)APPENDIX B (Sample, output forms)
Thesis Abstract
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 patientâs information and data mining tool for the retrieval of such information when needed.
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