A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships
نویسندگان
چکیده
منابع مشابه
A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships
OBJECTIVE Large and complex terminologies, such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), are prone to errors and inconsistencies. Abstraction networks are compact summarizations of the content and structure of a terminology. Abstraction networks have been shown to support terminology quality assurance. In this paper, we introduce an abstraction network derivation met...
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In SNOMED CT, a given kind of attribute relationship is defined between two hierarchies, a source and a target. Certain hierarchies (or subhierarchies) serve only as targets, with no outgoing relationships of their own. However, converse relationships-those pointing in a direction opposite to the defined relationships-while not explicitly represented in SNOMED's inferred view, can be utilized i...
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An important feature of SNOMED CT is post-coordination, which is enabled as SNOMED CT specifies refinability of target concepts of relationships. In this paper the use of refinable relationships in SNOMED CT is analysed, and the interplay between refinable and defining relationships. Refinability is used in 10 out of 61 relationships, and the interplay between refinable and defining relationshi...
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Biomedical ontologies are generally very large and complex. Their size and complexity make quality assurance a difficult and timeconsuming task. Compact networks called abstraction networks can be derived to summarize the content and structure of ontologies and support their quality assurance. The Biomedical Layout Utility for SNOMED CT (BLUSNO) is a system for automatically deriving and visual...
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ژورنال
عنوان ژورنال: Journal of the American Medical Informatics Association
سال: 2014
ISSN: 1527-974X,1067-5027
DOI: 10.1136/amiajnl-2014-003173