ECAI 2004 Conference Paper

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Mapping clinical guidelines representation primitives to decision theory concepts

Stefania Montani, Paolo Terenziani

Supporting therapy selection is a fundamental task for a system for computerized management of clinical guidelines (GL). To this hand, decision theory issues could provide significant advances. In this paper, we propose a systematic analysis of the main GL representation primitives, and of how they could be related to decision theory issues. The knowledge representation contribution we provide can be seen as a basis for implementing a decision support tool within any of the systems described in the literature: as a matter of fact, at a sufficiently abstract level, the GL primitives we treat are shared by all of the systems. Such a tool could be adopted when executing a GL on a single patient (in clinical practice), and for simulation purposes. In particular, a decision theory tool based on this analysis is being implemented in the system GLARE.

Keywords: knowledge representation, clinical guidelines, decision support, decision theory

Citation: Stefania Montani, Paolo Terenziani: Mapping clinical guidelines representation primitives to decision theory concepts. In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.1063-1064.

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ECAI-2004 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Universitat Politècnica de València on behalf of Asociación Española de Inteligencia Artificial (AEPIA) and Associació Catalana d'Intel-ligència Artificial (ACIA).