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Representation requirements for supporting knowledge-based construction of decision models in medicine
1MIT Laboratory for Computer Science, Cambridge, MA 02139.
Abstract:
This paper analyzes the medical knowledge required for formulating decision models in the domain of pulmonary infectious diseases (PIDs) with acquired immunodeficiency syndrome (AIDS). Aiming to support dynamic decision-modeling, the knowledge characterization focuses on the ontology of the clinical decision problem. Relevant inference patterns and knowledge types are identified.
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