Ontology-based medical diagnostic knowledge structuring using case-based reasoning methodology

  • Authors:
  • Thinn Mya Mya Swe;Nan Sai Moon Kham

  • Affiliations:
  • University of Computer Studies, Yangon, Myanmar;University of Computer Studies, Yangon, Myanmar

  • Venue:
  • Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
  • Year:
  • 2009

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Abstract

In this paper, we have applied the Case Based Reasoning methodology combined with ontology to implement case-based medical diagnostic knowledge structuring. Domain knowledge may be used in a medical application to avoid wrong decisions, to be able to make a correct decision for strong working diagnosis and partly for therapeutic purpose. The development of knowledge repository for disease-specific treatment called therapy memory has proposed in order to support diagnosis process, provide and share the knowledge of medical experts for diagnosis and treatment of specific disease. It has 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, this paper describes a methodology for proliferating the scope and precision of the diagnostic ontology-based knowledge base. 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.