Description

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.

AIM OF THE STUDY

The aim this research is to design and implement a data mining for medical records in the Rivers State University of Science  and Technology Hospital.

OBJECTIVE OF STUDY

The objectives of this research work are to:

  Create a data warehouse for storage of patient’s information thereby eliminating manual file storage of patient’s records.

Design a good data mining tool that will help in easy retrieval of patient information thereby reducing time wastage and improve service delivery.

 The data mining tool will be able to discover hidden pattern in large volume of data which will help in good decision making.

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