A knowledge-based data mining system for diagnosing malaria related cases in healthcare management

Article

Oluwagbemi, O., Ofoezie, U. and Obinna, N. 2010. A knowledge-based data mining system for diagnosing malaria related cases in healthcare management. Egyptian Computer Science Journal. 34 (4), pp. 1-10.
TypeArticle
TitleA knowledge-based data mining system for diagnosing malaria related cases in healthcare management
AuthorsOluwagbemi, O., Ofoezie, U. and Obinna, N.
Abstract

Data mining a process for assembling and analysing 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.

Keywordsdiagnosis; data mining; malaria
Sustainable Development Goals3 Good health and well-being
Middlesex University ThemeHealth & Wellbeing
PublisherEgyptian Computer Society
JournalEgyptian Computer Science Journal
ISSN1110-2586
Publication dates
Print2010
Publication process dates
Accepted11 Oct 2010
Deposited19 Apr 2024
Output statusPublished
LanguageEnglish
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