Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/4153
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dc.contributor.authorTaweel, Adel-
dc.contributor.authorRector, Alan L.-
dc.contributor.authorRogers, Jeremy-
dc.date.accessioned2017-01-17T11:41:09Z-
dc.date.available2017-01-17T11:41:09Z-
dc.date.issued2004-
dc.identifier.urihttp://hdl.handle.net/20.500.11889/4153-
dc.description.abstractPrevious 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.en_US
dc.language.isoen_USen_US
dc.subjectMedical records - Data processingen_US
dc.subjectHome care services - Data processingen_US
dc.subjectLogic programmingen_US
dc.subjectArtificial intelligenceen_US
dc.subject.lcshMedicine - Terminology-
dc.subject.lcshDecision support systems - Data processing-
dc.titleModels and inference methods for clinical systems: A principled approachen_US
dc.typeArticleen_US
newfileds.departmentEngineering and TechnologyEngineering and Technologyen_US
newfileds.item-access-typeopen_accessen_US
newfileds.thesis-prognoneen_US
newfileds.general-subjectnoneen_US
item.languageiso639-1other-
item.fulltextWith Fulltext-
item.grantfulltextopen-
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