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Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs
OBJECTIVE: We introduce a structural-lexical approach for auditing SNOMED CT using a combination of non-lattice subgraphs of the underlying hierarchical relations and enriched lexical attributes of fully specified concept names. Our goal is to develop a scalable and effective approach that automatic...
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| Publicat a: | J Biomed Inform |
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| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5835197/ https://ncbi.nlm.nih.gov/pubmed/29274386 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2017.12.010 |
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