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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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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6080685/ https://ncbi.nlm.nih.gov/pubmed/28339775 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocw175 |
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