Abstract
In the formal analysis of health-care, there is little work that combines probabilistic and temporal reasoning. On the one hand, there are those that aim to support the clinical thinking process, which is characterised by trade-off decision making taking into account uncertainty and preferences, i.e., the process has a probabilistic and decision-theoretic flavour. On the other hand, the management of care, e.g., guidelines and planning of tasks, is typically modelled symbolically using temporal, non-probabilistic, methods. This paper proposes a new framework for combining temporal reasoning with probabilistic decision making. The framework is instantiated with a guideline modelling language combined with probabilistic pharmokinetics and applied to the treatment of diabetes mellitus type 2.
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Hommersom, A. (2011). Toward Probabilistic Analysis of Guidelines. In: Riaño, D., ten Teije, A., Miksch, S., Peleg, M. (eds) Knowledge Representation for Health-Care. KR4HC 2010. Lecture Notes in Computer Science(), vol 6512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18050-7_11
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DOI: https://doi.org/10.1007/978-3-642-18050-7_11
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