ArticleArtificial intelligence in medicine2017
From SNOMED CT to Uberon: Transferability of evaluation methodology between similarly structured ontologies.
Article in Artificial intelligence in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients.BMC medical informatics and decision making · 2023Article
- Missing lateral relationships in top-level concepts of an ontology.BMC medical informatics and decision making · 2020Article
- Integration of anatomy ontology data with protein-protein interaction networks improves the candidate gene prediction accuracy for anatomical entities.BMC bioinformatics · 2020Article
- Complex overlapping concepts: An effective auditing methodology for families of similarly structured BioPortal ontologies.Journal of biomedical informatics · 2018Article
- Overlapping Complex Concepts Have More Commission Errors, Especially in Intensive Terminology Auditing.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Taxonomy-Based Approaches to Quality Assurance of Ontologies.Journal of healthcare engineering · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveTo examine whether disjoint partial-area taxonomy, a semantically-based evaluation methodology that has been successfully tested in SNOMED CT, will perform with similar effectiveness on Uberon, an anatomical ontology that belongs to a structurally similar family of ontologies as SNOMED CT.
methodA disjoint partial-area taxonomy was generated for Uberon. One hundred randomly selected test concepts that overlap between partial-areas were matched to a same size control sample of non-overlapping concepts. The samples were blindly inspected for non-critical issues and presumptive errors first by a general domain expert whose results were then confirmed or rejected by a highly experienced anatomical ontology domain expert. Reported issues were subsequently reviewed by Uberon's curators.
resultsOverlapping concepts in Uberon's disjoint partial-area taxonomy exhibited a significantly higher rate of all issues. Clear-cut presumptive errors trended similarly but did not reach statistical significance. A sub-analysis of overlapping concepts with three or more relationship types indicated a much higher rate of issues.
conclusionsOverlapping concepts from Uberon's disjoint abstraction network are quite likely (up to 28.9%) to exhibit issues. The results suggest that the methodology can transfer well between same family ontologies. Although Uberon exhibited relatively few overlapping concepts, the methodology can be combined with other semantic indicators to expand the process to other concepts within the ontology that will generate high yields of discovered issues.
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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.