Inductive Learning for Case-Based Diagnosis with Multiple Faults

  • Authors:
  • Joachim Baumeister;Martin Atzmüller;Frank Puppe

  • Affiliations:
  • -;-;-

  • Venue:
  • ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
  • Year:
  • 2002

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Abstract

We present adapted inductive methods for learningsimilarities, parameter weights and diagnostic profiles for case-based reasoning. All of these methods can be refined incrementally by applyingdif ferent types of background knowledge. Diagnostic profiles are used for extending the conventional CBR to solve cases with multiple faults. The context of our work is to supplement a medical documentation and consultation system by CBR techniques, and we present an evaluation with a real-world case base.