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Knowledge Representation in Difficult Medical Diagnosis

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Advances in Data Mining. Applications and Theoretical Aspects (ICDM 2009)

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Abstract

This article is based on medical knowledge produced thought collaborative problem solving by a group of experts, in the field of medical diagnosis. In this work, we propose a representation format for a medical case base into a traditional RDBMS representation, which is queryable using standard SQL. We are concerned in difficult medical cases which imply a solution in several steps with several expert solvers (medical specialists). Some queries on this case base are proposed. A case base was implemented and validated in real time with experts on the real scenarios.

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Aguilera, A., Subero, A. (2009). Knowledge Representation in Difficult Medical Diagnosis. In: Perner, P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. ICDM 2009. Lecture Notes in Computer Science(), vol 5633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03067-3_8

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  • DOI: https://doi.org/10.1007/978-3-642-03067-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03066-6

  • Online ISBN: 978-3-642-03067-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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