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 |
Appears in Collections: | Fulltext Publications |
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