Building a computer-based expert system for malaria environmental diagnosis: an alternative malaria control strategy

Article

Oluwagbemi, O., Adeoye, E. and Fatumo, S. 2009. Building a computer-based expert system for malaria environmental diagnosis: an alternative malaria control strategy. Egyptian Computer Science Journal. 33 (1), pp. 55-69.
TypeArticle
TitleBuilding a computer-based expert system for malaria environmental diagnosis: an alternative malaria control strategy
AuthorsOluwagbemi, O., Adeoye, E. and Fatumo, S.
Abstract

As a predominant environmental health problem in Africa, malaria constitutes a great threat to the existence of many communities. The harmful effects of malaria parasites to the human body cannot be underestimated. In this paper, an expert system for malaria environmental diagnosis was presented for providing decision support to malaria researchers, institutes and other healthcare practitioners in malaria endemic regions of the world. The motivation behind this work was due to the insufficient malaria control measures in existence and the need to provide novel approaches towards malaria control. A malaria expert system prototype was developed that involved a knowledge component, the application component (AC), the database system component (DC), the Graphical User Interface (GUI) component and the User component (UC). The User interface component was implemented using the Java Programming language. The application component was implemented using the Java Expert System Shell (JESS) and the Java IDE of Netbeans while the database component was implemented using SQL Server.

KeywordsDatabase system; Expert system; Environmental Diagnosis; Knowledge based system; Malaria; Malaria Control
Sustainable Development Goals3 Good health and well-being
13 Climate action
Middlesex University ThemeHealth & Wellbeing
PublisherEgyptian Computer Society
JournalEgyptian Computer Science Journal
ISSN1110-2586
Publication dates
PrintSep 2009
Publication process dates
Accepted03 Dec 2009
Deposited19 Apr 2024
Output statusPublished
LanguageEnglish
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