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Medical Knowledge Management using Case-Based Reasoning Methodology

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dc.contributor.author Swe, Thinn Mya Mya
dc.contributor.author Kham, Nang Saing Moon
dc.date.accessioned 2019-08-06T11:44:47Z
dc.date.available 2019-08-06T11:44:47Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1899
dc.description.abstract In medical applications, domain knowledge may be used to avoid wrong decisions, to be able to make a correct decision for strong working diagnosis and partly for therapeutic purpose. In this paper, the Case Based Reasoning methodology combined with ontology has been applied to implement case-based medical diagnostic knowledge structuring. The knowledge repository for disease-specific treatment has been developed in order to support diagnosis process, provide and share the knowledge of medical experts for diagnosis and treatment of specific disease. It has also been described that medical Knowledge Base (KB) systems are either highly specialize, lack accuracy or are just too simple. To overcome this problem of scope, a methodology for proliferating the scope and precision of the diagnostic ontology-based knowledge base is described in this paper. It also aims to understand and solve new similar problems and support similar decision making as well as share medical knowledge and treatment experiences among the medical practitioners. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title Medical Knowledge Management using Case-Based Reasoning Methodology en_US
dc.type Article en_US


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