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Models and inference methods for clinical systems: a principled approach
Alan L Rector1, Jeremy Rogers, Adel Taweel
1Department of Computer Science, University of Manchester, Manchester, England M13 9PL, UK.
Abstract:
Previous papers have argued for the existence of three different models in many clinical information systems--for the medical record, for inference in guidelines, and for concepts and re-usable facts. This paper presents a principled approach to deciding which information belongs in each model based on the nature of the queries or inference to be performed: necessary or contingent, open or closed world, algorithmic vs heuristic. It then discusses an important class of systems--"ontologically indexed knowledge bases"--and issues of metadata within this framework.
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