This paper presents the results from application back up of diagnostic decision supported by a Case Based Reasoning (CBR), with the presentation of a retriever prototype used for cases recovering from a specialist domain. Its aim is to recover, from a memory of cases, the most adequate case for a new situation and to suggest the solution for the new case.
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