DESIGN AND IMPLEMENTATION OF DATA MINING FOR MEDICAL RECORD SYSTEM (A CASE STUDY OF OWERRI GENERAL HOSPITAL)

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 patient‟s information and data mining tool for the retrieval of such information when needed.

CHAPTER ONE

INTRODUCTION

1.1            BACKGROUND OF STUDY

Data mining, is the extraction of hidden predictive information from large database, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge driven decisions. The automated, prospective analysis offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time consuming to resolve. The scour databases for hidden patterns, finding predictive information those experts may miss because it lies outside their expectations.

Most companies already collect and refine massive quantities of data. Data mining techniques can be implemented rapidly on existing software and hardware platforms to enhance the value of existing information resources, and can be integrated with new products and system as they are brought on-line. Which implemented on high performance client/server or parallel processing computers, data mining tools can analyze massive database to deliver answers to questions such as “Which client are most likely to respond to my next promotional mailing, and Why?”

Data mining techniques are result of a long process research and product development. This evolution began when business data was first stored on computers, continued with improvement in data access, and more recently

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Item Type: Project Material  |  Attribute: 69 pages  |  Chapters: 1-5

Format: MS Word  |  Price: N3,000  |  Delivery: Within 2hrs

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