Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support
Identifieur interne : 007B02 ( Main/Exploration ); précédent : 007B01; suivant : 007B03Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support
Auteurs : Jean Lieber [France] ; Mathieu D Quin [France] ; Pierre Bey [France, Niger] ; Amedeo Napoli [France] ; Maria Rios [France] ; Catherine Sauvagnac [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: The elaboration of a treatment in cancerology depends on decision protocols. These protocols are often adapted rather than used straightforwardly. This paper deals with the acquisition of the knowledge exploited during protocol adaptations. It shows that this knowledge acquisition process can be based on similarity paths, that are used for representing the matchings between decision problems (e.g., source and target problems within a case-based reasoning process).
Url:
DOI: 10.1007/978-3-540-39907-0_42
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: The elaboration of a treatment in cancerology depends on decision protocols. These protocols are often adapted rather than used straightforwardly. This paper deals with the acquisition of the knowledge exploited during protocol adaptations. It shows that this knowledge acquisition process can be based on similarity paths, that are used for representing the matchings between decision problems (e.g., source and target problems within a case-based reasoning process).</div>
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