ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2013
Scalability of abstraction-network-based quality assurance to large SNOMED hierarchies.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Leveraging logical definitions and lexical features to detect missing IS-A relations in biomedical terminologies.Journal of biomedical semantics · 2024Article
- A deep learning approach to identify missing is-a relations in SNOMED CT.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Outlier concepts auditing methodology for a large family of biomedical ontologies.BMC medical informatics and decision making · 2020Article
- Missing lateral relationships in top-level concepts of an ontology.BMC medical informatics and decision making · 2020Article
- Complex overlapping concepts: An effective auditing methodology for families of similarly structured BioPortal ontologies.Journal of biomedical informatics · 2018Article
- Analyzing structural changes in SNOMED CT's Bacterial infectious diseases using a visual semantic delta.Journal of biomedical informatics · 2017Article
- Is the Application of SNOMED CT Concept Model sufficiently Quality Assured?AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Taxonomy-Based Approaches to Quality Assurance of Ontologies.Journal of healthcare engineering · 2017Article
- Introducing the Big Knowledge to Use (BK2U) challenge.Annals of the New York Academy of Sciences · 2017Review
- A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies.Journal of biomedical informatics · 2016Article
- Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies.Journal of biomedical informatics · 2016Article
- Article
- Structural measures to track the evolution of SNOMED CT hierarchies.Journal of biomedical informatics · 2015Article
- A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Abstraction networks for terminologies: Supporting management of "big knowledge".Artificial intelligence in medicine · 2015Review
- Using the wisdom of the crowds to find critical errors in biomedical ontologies: a study of SNOMED CT.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Scalable quality assurance for large SNOMED CT hierarchies using subject-based subtaxonomies.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- An empirically derived taxonomy of errors in SNOMED CT.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
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Authors and funding
7 authors.
Funding
Abstract
Abstraction networks are compact summarizations of terminologies used to support orientation and terminology quality assurance (TQA). Area taxonomies and partial-area taxonomies are abstraction networks that have been successfully employed in support of TQA of small SNOMED CT hierarchies. However, nearly half of SNOMED CT's concepts are in the large Procedure and Clinical Finding hierarchies. Abstraction network derivation methodologies applied to those hierarchies resulted in taxonomies that were too large to effectively support TQA. A methodology for deriving sub-taxonomies from large taxonomies is presented, and the resultant smaller abstraction networks are shown to facilitate TQA, allowing for the scaling of our taxonomy-based TQA regimen to large hierarchies. Specifically, sub-taxonomies are derived for the Procedure hierarchy and a review for errors and inconsistencies is performed. Concepts are divided into groups within the sub-taxonomy framework, and it is shown that small groups are statistically more likely to harbor erroneous and inconsistent concepts than large groups.
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Identifiers
24551393PMC3900129What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.