Abstract | ||
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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. |
Year | DOI | Venue |
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2010 | 10.1007/978-3-642-18050-7_11 | KR4HC |
Keywords | Field | DocType |
probabilistic analysis,clinical thinking process,probabilistic pharmokinetics,new framework,account uncertainty,decision-theoretic flavour,probabilistic decision,diabetes mellitus type,trade-off decision,formal analysis,temporal reasoning,probabilistic method,health care | Computer science,Thinking processes,Probabilistic analysis of algorithms,Bayesian network,Artificial intelligence,Probabilistic argumentation,Probabilistic logic,Guideline,Machine learning | Conference |
ISBN | Citations | PageRank |
3-642-18049-3 | 0 | 0.34 |
References | Authors | |
5 | 1 |
Name | Order | Citations | PageRank |
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Arjen Hommersom | 1 | 121 | 19.62 |