ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017
Can SNOMED CT Changes Be Used as a Surrogate Standard for Evaluating the Performance of Its Auditing Methods?
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Identification of missing hierarchical relations in the vaccine ontology using acquired term pairs.Journal of biomedical semantics · 2022Article
- Leveraging non-lattice subgraphs for suggestion of new concepts for SNOMED CT.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2021Article
- SSIF: Subsumption-based Sub-term Inference Framework to audit Gene Ontology.Bioinformatics (Oxford, England) · 2020Article
- A lexical-based approach for exhaustive detection of missing hierarchical IS-A relations in SNOMED CT.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Complex overlapping concepts: An effective auditing methodology for families of similarly structured BioPortal ontologies.Journal of biomedical informatics · 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
- Overlapping Complex Concepts Have More Commission Errors, Especially in Intensive Terminology Auditing.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Spark-MCA: Large-scale, Exhaustive Formal Concept Analysis for Evaluating the Semantic Completeness of SNOMED CT.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
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3 authors.
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Abstract
We introduce RGT, Retrospective Ground-Truthing, as a surrogate reference standard for evaluating the performance of automated Ontology Quality Assurance (OQA) methods. The key idea of RGT is to use cumulative SNOMED CT changes derived from its regular longitudinal distributions by the official SNOMED CT editorial board as a partial, surrogate reference standard. The contributions of this paper are twofold: (1) to construct an RGT reference set for SNOMED CT relational changes; and (2) to perform a comparative evaluation of the performances of lattice, non-lattice, and randomized relational error detection methods using the standard precision, recall, and geometric measures. An RGT relational-change reference set of 32,241 IS-A changes were constructed from 5 U.S. editions of SNOMED CT from September 2014 to September 2016, with reversals and changes due to deletion or addition of new concepts excluded. 68,849 independent non-lattice fragments, 118,587 independent lattice fragments, and 446,603 relations were extracted from the SNOMED CT March 2014 distribution. Comparative performance analysis of smaller (less than 15) lattice vs. non-lattice fragments was also given to approach the more realistic setting in which such methods may be applied. Among the 32,241 IS-A changes, independent non-lattice fragments covered 52.8% changes with 26.4% precision with a G-score of 0.373. Even though this G-score is significantly lower in comparison to those in information retrieval, it breaks new ground in that such evaluations have never performed before in the highly discovery-oriented setting of OQA.
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29854262PMC5977667What OpenQuestion holds
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