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).
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Lieber, J., d’Aquin, M., Bey, P., Napoli, A., Rios, M., Sauvagnac, C. (2003). Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support. In: Dojat, M., Keravnou, E.T., Barahona, P. (eds) Artificial Intelligence in Medicine. AIME 2003. Lecture Notes in Computer Science(), vol 2780. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39907-0_42
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DOI: https://doi.org/10.1007/978-3-540-39907-0_42
Publisher Name: Springer, Berlin, Heidelberg
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