Using CommonKADS to Build an Expertise Model for Breast Cancer Prognosis and Therapy

Roberto Sacile (1)

1 ACACIA - Knowledge acquisition for aided design through agent interaction

One of the major aspects in breast cancer research is the identification of prognostic factors accurate enough to define different therapeutic decisions; each prognostic factor on its own is not sufficient for the prediction of the biological behaviour of the tumour, but a combination of these parameters is necessary. More over, nowadays growth of cancer literature, specifically on biological aspects, is of exponential nature, and the management of the knowledge deriving from cancer research needs a knowledge conceptualisation in order to semplify the process of guideline production in cancer prognosis and therapy. The work described here focuses on the definition of a conceptual knowledge model of the prognosis and the therapy of breast cancer. Our approach to the conceptualisation of the problem fol lows the CommonKADS (Knowledge Acquisition and Design Structuring) Library for Expertise Modelling. The aim of this work is to provide a first conceptual- isation of breast cancer prognosis and therapy, while evaluating the efficacy of the Com monKADS methodology in facing the problem.

Mots clés: COMMONKADS; KNOWLEDGE ACQUISITION; BREAST CANCER; MEDICAL DOMAIN

Domaines: Autre [cs.OH]

Roberto Sacile. Using CommonKADS to Build an Expertise Model for Breast Cancer Prognosis and Therapy. RR-2737, INRIA. 1995. ⟨inria-00073956⟩