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A lexical-based approach for exhaustive detection of missing hierarchical IS-A relations in SNOMED CT

Incompleteness of ontologies affects the quality of downstream ontology-based applications. In this paper, we introduce a novel lexical-based approach to automatically detect potentially missing hierarchical IS-A relations in SNOMED CT. We model each concept with an enriched set of lexical features,...

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Detalhes bibliográficos
Publicado no:AMIA Annu Symp Proc
Main Authors: Zheng, Fengbo, Shi, Jay, Cui, Licong
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Informatics Association 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8075518/
https://ncbi.nlm.nih.gov/pubmed/33936515
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