Oluwagbemi, O. O. and Ofoezie, Uzoamaka and Nwinyi, Obinna (2010) A Knowledge-Based Data Mining System for Diagnosing Malaria Related Cases in Healthcare Management. Egyptian Computer Science Journal, 34 (4).
- Submitted Version
Data mining a process for assembling and analyzing data into useful information can be applied as rapid measures for malaria diagnosis. In this research work we implemented (knowledge-base) inference engine that will help in mining sample patient records to discover interesting relationships in malaria related cases. The computer programming language employed was the C#.NET programming language and Microsoft SQL Server 2005 served as the Relational Database Management System (RDBMS). The results obtained showed that knowledge-based data mining system was able to successfully mine out and diagnose possible diseases corresponding to the selected symptoms entered as query. With this finding, we believe the development of a Knowledge-based data mining system will not only be beneficial towards the diagnosis of malaria related cases in a more cost effective means but will assist in crucial decision making and new policy formulation in the malaria endemic regions.
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science|
|Depositing User:||Mr Adewole Adewumi|
|Date Deposited:||07 Feb 2011 11:53|
|Last Modified:||13 Dec 2011 21:13|
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