On-Line Domain Knowledge Management for Case-Based Medical Recommendation

Amélie Cordier 1 Béatrice Fuchs 1 Jean Lieber 2 Alain Mille 1
1 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Domain knowledge may be used in a medical application to avoid wrong decisions, e.g., decisions raising contraindications. The contribution of this paper is twofold. First, it presents an approach for exploiting domain knowledge in a case-based decision support system in the domain of oncology. This approach is based on the so-called conservative adaptation that provides a solution necessarily consistent with the domain knowledge. Second, this paper describes an approach for the evolution of this domain knowledge when the expert rejects a proposed solution as being inconsistent with his/her knowledge. This inconsistency is characteristic of a difference between the domain knowledge of the system and the expert knowledge; from an interactive analysis, a piece of knowledge to be added to the domain knowledge is pointed out. This approach to domain knowledge evolution is implemented in a prototype called FrakaS.
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Submitted on : Thursday, November 22, 2007 - 11:25:09 AM
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Amélie Cordier, Béatrice Fuchs, Jean Lieber, Alain Mille. On-Line Domain Knowledge Management for Case-Based Medical Recommendation. 5th workshop on CBR in the Health Sciences, a workshop of the seventh International Conference on Case-Based Reasoning (ICCBR-07), D. C. Wilson and D. Khemani (volume editors), I. Bichindaritz and S. Montani, Aug 2007, Belfast, United Kingdom. pp.285--294. ⟨inria-00189782⟩

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