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Research Article
A Knowledge-Base of Prevalent Diseases in Sunyani Municipality, Ghana Using Ontological Engineering
Author(s): Stephen Appiah, Adebayo Felix Adekoya, Crispin Bapuuroh and Christian Akowua-KwakyeStephen Appiah, Adebayo Felix Adekoya, Crispin Bapuuroh and Christian Akowua-Kwakye
Several works in healthcare diseases support systems in recent time are being inspired by a lot of semantic web technology. Specifically, there has been a rise in the number of knowledgebase system that has been developed using ontological engineering. For two decades, Sunyani Municipality records a lump number of diseases with a few such as Typhoid Fever, Malaria, Diarrhoea Diseases, Pneumonia, Anaemia, and so on being prevalent. Healthcare systems in the Municipal do not have a centralised knowledge base for these prevalent diseases, hence the need for a centralised knowledge-based system. This study proposes a knowledge-based system using ontological engineering to assist the formulation of a strong foundation for establishing a meaningful decision-making support system for the proper diagnosis and management of these diseases in the Municipality. We an.. Read More»
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