Using CommonKADS to create a conceptual model of a guideline system for breast cancer prognosis.
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 insufficient for the prediction of the biological behaviour of the tumour, but a combination of these parameters is necessary. The work described here focuses on the definition of a conceptual knowledge model of the prognosis of breast cancer. Our approach to the conceptualization of the problem follows the CommonKADS (Knowledge Acquisition and Design Structuring) Library for Expertise Modelling. The aim of this work is to provide a first conceptualization of breast cancer prognosis while evaluating the efficacy of the CommonKADS methodology in facing the problem.
Sacile
R
R
INRIA, ACACIA project, Sophia Antipolis, France.
Ruggiero
C
C
Dieng
R
R
D001185:Artificial Intelligence; D001943:Breast Neoplasms / Q000628:therapy*; D003663:Decision Trees; D005260:Female; D006801:Humans; D008954:Models, Biological; D011379:Prognosis; D012985:Software Design; D013813:Therapy, Computer-Assisted