ArticleJournal of the American Medical Informatics Association : JAMIA2015
A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships.
Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Leveraging logical definitions and lexical features to detect missing IS-A relations in biomedical terminologies.Journal of biomedical semantics · 2024Article
- An Automated Approach for Identifying Erroneous IS-A Relations in SNOMED CT.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- Big knowledge visualization of the COVID-19 CIDO ontology evolution.BMC medical informatics and decision making · 2023Article
- A deep learning approach to identify missing is-a relations in SNOMED CT.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Identifying Missing IS-A Relations in Orphanet Rare Disease Ontology.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2022Article
- An evidence-based lexical pattern approach for quality assurance of Gene Ontology relations.Briefings in bioinformatics · 2022Article
- Visual comprehension and orientation into the COVID-19 CIDO ontology.Journal of biomedical informatics · 2021Article
- A Comparison of Exhaustive and Non-lattice-based Methods for Auditing Hierarchical Relations in Gene Ontology.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Detecting missing IS-A relations in the NCI Thesaurus using an enhanced hybrid approach.BMC medical informatics and decision making · 2020Article
- Outlier concepts auditing methodology for a large family of biomedical ontologies.BMC medical informatics and decision making · 2020Article
- A lexical-based approach for exhaustive detection of missing hierarchical IS-A relations in SNOMED CT.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Leveraging Non-lattice Subgraphs to Audit Hierarchical Relations in NCI Thesaurus.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- SNOMED CT standard ontology based on the ontology for general medical science.BMC medical informatics and decision making · 2018Article
- Assessing the practice of biomedical ontology evaluation: Gaps and opportunities.Journal of biomedical informatics · 2018Review
- Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs.Journal of biomedical informatics · 2018Article
- Identifying Similar Non-Lattice Subgraphs in Gene Ontology based on Structural Isomorphism and Semantic Similarity of Concept Labels.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Quality assurance of chemical ingredient classification for the National Drug File - Reference Terminology.Journal of biomedical informatics · 2017Article
- Mining non-lattice subgraphs for detecting missing hierarchical relations and concepts in SNOMED CT.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Analyzing structural changes in SNOMED CT's Bacterial infectious diseases using a visual semantic delta.Journal of biomedical informatics · 2017Article
- Introducing the Big Knowledge to Use (BK2U) challenge.Annals of the New York Academy of Sciences · 2017Review
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Authors and funding
7 authors.
Funding
Abstract
objectiveLarge and complex terminologies, such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), are prone to errors and inconsistencies. Abstraction networks are compact summarizations of the content and structure of a terminology. Abstraction networks have been shown to support terminology quality assurance. In this paper, we introduce an abstraction network derivation methodology which can be applied to SNOMED CT target hierarchies whose classes are defined using only hierarchical relationships (ie, without attribute relationships) and similar description-logic-based terminologies.
methodsWe introduce the tribal abstraction network (TAN), based on the notion of a tribe-a subhierarchy rooted at a child of a hierarchy root, assuming only the existence of concepts with multiple parents. The TAN summarizes a hierarchy that does not have attribute relationships using sets of concepts, called tribal units that belong to exactly the same multiple tribes. Tribal units are further divided into refined tribal units which contain closely related concepts. A quality assurance methodology that utilizes TAN summarizations is introduced.
resultsA TAN is derived for the Observable entity hierarchy of SNOMED CT, summarizing its content. A TAN-based quality assurance review of the concepts of the hierarchy is performed, and erroneous concepts are shown to appear more frequently in large refined tribal units than in small refined tribal units. Furthermore, more erroneous concepts appear in large refined tribal units of more tribes than of fewer tribes.
conclusionsIn this paper we introduce the TAN for summarizing SNOMED CT target hierarchies. A TAN was derived for the Observable entity hierarchy of SNOMED CT. A quality assurance methodology utilizing the TAN was introduced and demonstrated.
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