The Knowledge Model is pivotal for Decision Support Systems since it must allow for the representation of patient data information, decisional criteria sharing a common data model and enabling reasoning at different levels of abstraction.
The underlying data model is based on the generic Entity-Attribute-Value model, providing the conceptual skeleton for recording and structuring an ontology. The result is the Breast Cancer Knowledge Model (BCKM) under OWL containing i) knowledge about the Breast Cancer domain (procedures, examination results, tests results classification, etc..) and ii) knowledge about the patient case (age, pathological characteristics, etc).
The model for representing clinical inference knowledge relies on a generic production rule model consistent with the underlying data model in DESIREE Guideline Definition Language (DGDL). The DGDL uses the concepts in the BCKM in the decision rules allowing to benefit from the conceptual organisation of the BCKM (subsumption, complex concepts definitions, etc.) to mix both classification capabilities and rule-based reasoning.


Cancer