Cargando…
Detecting missing IS-A relations in the NCI Thesaurus using an enhanced hybrid approach
BACKGROUND: The National Cancer Institute (NCI) Thesaurus provides reference terminology for NCI and other systems. Previously, we proposed a hybrid prototype utilizing lexical features and role definitions of concepts in non-lattice subgraphs to identify missing IS-A relations in the NCI Thesaurus....
Autores principales: | Zheng, Fengbo, Abeysinghe, Rashmie, Sioutos, Nicholas, Whiteman, Lori, Remennik, Lyubov, Cui, Licong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7737275/ https://www.ncbi.nlm.nih.gov/pubmed/33319703 http://dx.doi.org/10.1186/s12911-020-01289-6 |
Ejemplares similares
-
Enhancing the Quality of Hierarchic Relations in the National Cancer Institute Thesaurus to Enable Faceted Query of Cancer Registry Data
por: Cui, Licong, et al.
Publicado: (2020) -
Identification of missing concepts in biomedical terminologies using sequence-based formal concept analysis
por: Zheng, Fengbo, et al.
Publicado: (2021) -
A deep learning approach to identify missing is-a relations in SNOMED CT
por: Abeysinghe, Rashmie, et al.
Publicado: (2022) -
Overview and Utilization of the NCI Thesaurus
por: Fragoso, Gilberto, et al.
Publicado: (2004) -
Logical definition-based identification of potential missing concepts in SNOMED CT
por: Hao, Xubing, et al.
Publicado: (2023)