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

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. Material an...

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Detalles Bibliográficos
Autores principales: Cui, Licong, Zhu, Wei, Tao, Shiqiang, Case, James T, Bodenreider, Olivier, Zhang, Guo-Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080685/
https://www.ncbi.nlm.nih.gov/pubmed/28339775
http://dx.doi.org/10.1093/jamia/ocw175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080685/
https://www.ncbi.nlm.nih.gov/pubmed/28339775
http://dx.doi.org/10.1093/jamia/ocw175

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