KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
Post-design analysis for building and refining AI planning systems
Engineering Applications of Artificial Intelligence
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This paper presents the underlying technology of OncoTheraper, a Clinical Decision Support System for oncology therapy planning. The paper is focused on the representation of oncology treatment protocols by a temporally extended, Hierarchical Task Networks (HTN) based knowledge representation as well as their interpretation by a temporal HTN planning process. The planning process allows to obtain temporally annotated therapy plans that support decisions of oncologists in the area of paediatrics oncology. A proof on concept aimed to validate this technology is also described. In addition, a service oriented architecture that supports the decision services of the system is proposed.