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- W2280758161 abstract "Clinical decision making involves a large, complex, and ever-changing body of knowledge. Characterizing such knowledge illuminates the representational and computational requirements for automated clinical decision analysis. This work analyzes the medical knowledge required for formulating decision models in the domain of pulmonary infectious diseases (PIDs) with acquired immunodeficiency syndrome (AIDS). Based on the analysis, a knowledge representation framework is proposed. The framework is evaluated by showing how it supports decision model formulation for an example case. Aiming to support constructive decision-modeling, the knowledge characterization focuses on the ontological features of the decision problem such as contexts, classes of observed events, classes of available actions, classes of possible outcomes and probabilistic and contextual dependency. A relevant set of inference patterns and knowledge types are identified. These results are incorporated into a representation design that integrates categorical and uncertain knowledge in a context-sensitive manner." @default.
- W2280758161 created "2016-06-24" @default.
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- W2280758161 date "1991-06-01" @default.
- W2280758161 modified "2023-09-23" @default.
- W2280758161 title "KNOWLEDGE REPRESENTATION FOR SUPPORTING DECISION MODEL FORMULATION IN MEDICINE" @default.
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