Knowledge Representation in Difficult Medical Diagnosis

Authors:
Ana Aguilera;Alberto Subero
Affiliations:
Faculty of Science and Technology, Universidad de Carabobo, Valencia, Venezuela;Faculty of Science and Technology, Universidad de Carabobo, Valencia, Venezuela
Venue:
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
Year:
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.