Mining non-lattice subgraphs for detecting missing hierarchical relations and concepts in SNOMED CT

Abstract Objective: Quality assurance of large ontological systems such as SNOMED CT is an indispensable part of the terminology management lifecycle. We introduce a hybrid structural-lexical method for scalable and systematic discovery of missing hierarchical relations and concepts in SNOMED CT. Ma...

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Veröffentlicht in:	Journal of the American Medical Informatics Association : JAMIA 2017-07, Vol.24 (4), p.788-798
Hauptverfasser:	Cui, Licong, Zhu, Wei, Tao, Shiqiang, Case, James T, Bodenreider, Olivier, Zhang, Guo-Qiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Data Mining - methods Quality Assurance, Health Care Research and Applications Subject Headings Systematized Nomenclature of Medicine
Online-Zugang:	Volltext
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