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.
Type | Article |
---|---|
Title | A knowledge-based data mining system for diagnosing malaria related cases in healthcare management |
Authors | Oluwagbemi, 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. |
Keywords | diagnosis; data mining; malaria |
Sustainable Development Goals | 3 Good health and well-being |
Middlesex University Theme | Health & Wellbeing |
Publisher | Egyptian Computer Society |
Journal | Egyptian Computer Science Journal |
ISSN | 1110-2586 |
Publication dates | |
2010 | |
Publication process dates | |
Accepted | 11 Oct 2010 |
Deposited | 19 Apr 2024 |
Output status | Published |
Language | English |
https://repository.mdx.ac.uk/item/v7211
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