Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/4153
Title: Models and inference methods for clinical systems: A principled approach
Authors: Taweel, Adel
Rector, Alan L.
Rogers, Jeremy
Keywords: Medical records - Data processing
Home care services - Data processing
Logic programming
Artificial intelligence
Issue Date: 2004
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.
URI: http://hdl.handle.net/20.500.11889/4153
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