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Journal Abstract Search

171 related items for PubMed ID: 21347113

  • 1. Large-scale, Exhaustive Lattice-based Structural Auditing of SNOMED CT.
    Zhang GQ, Bodenreider O.
    AMIA Annu Symp Proc; 2010 Nov 13; 2010():922-6. PubMed ID: 21347113
    [Abstract] [Full Text] [Related]

  • 2. Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs.
    Cui L, Bodenreider O, Shi J, Zhang GQ.
    J Biomed Inform; 2018 Feb 13; 78():177-184. PubMed ID: 29274386
    [Abstract] [Full Text] [Related]

  • 3. An efficient, large-scale, non-lattice-detection algorithm for exhaustive structural auditing of biomedical ontologies.
    Zhang GQ, Xing G, Cui L.
    J Biomed Inform; 2018 Apr 13; 80():106-119. PubMed ID: 29548711
    [Abstract] [Full Text] [Related]

  • 4. Using SPARQL to Test for Lattices: application to quality assurance in biomedical ontologies.
    Zhang GQ, Bodenreider O.
    Semant Web ISWC; 2010 Apr 13; 6497():273-288. PubMed ID: 25699294
    [Abstract] [Full Text] [Related]

  • 5. Mining non-lattice subgraphs for detecting missing hierarchical relations and concepts in SNOMED CT.
    Cui L, Zhu W, Tao S, Case JT, Bodenreider O, Zhang GQ.
    J Am Med Inform Assoc; 2017 Jul 01; 24(4):788-798. PubMed ID: 28339775
    [Abstract] [Full Text] [Related]

  • 6. Auditing the semantic completeness of SNOMED CT using formal concept analysis.
    Jiang G, Chute CG.
    J Am Med Inform Assoc; 2009 Jul 01; 16(1):89-102. PubMed ID: 18952949
    [Abstract] [Full Text] [Related]

  • 7. From lexical regularities to axiomatic patterns for the quality assurance of biomedical terminologies and ontologies.
    van Damme P, Quesada-Martínez M, Cornet R, Fernández-Breis JT.
    J Biomed Inform; 2018 Aug 01; 84():59-74. PubMed ID: 29908358
    [Abstract] [Full Text] [Related]

  • 8. Spark-MCA: Large-scale, Exhaustive Formal Concept Analysis for Evaluating the Semantic Completeness of SNOMED CT.
    Wei Z, Licong C, Guo-Qiang Z.
    AMIA Annu Symp Proc; 2017 Aug 01; 2017():1931-1940. PubMed ID: 29854265
    [Abstract] [Full Text] [Related]

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  • 10. Complex overlapping concepts: An effective auditing methodology for families of similarly structured BioPortal ontologies.
    Zheng L, Chen Y, Elhanan G, Perl Y, Geller J, Ochs C.
    J Biomed Inform; 2018 Jul 01; 83():135-149. PubMed ID: 29852316
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  • 12. Detecting modeling inconsistencies in SNOMED CT using a machine learning technique.
    Agrawal A, Qazi K.
    Methods; 2020 Jul 01; 179():111-118. PubMed ID: 32442671
    [Abstract] [Full Text] [Related]

  • 13. Analysis of readability and structural accuracy in SNOMED CT.
    Abad-Navarro F, Quesada-Martínez M, Duque-Ramos A, Fernández-Breis JT.
    BMC Med Inform Decis Mak; 2020 Dec 15; 20(Suppl 10):284. PubMed ID: 33319711
    [Abstract] [Full Text] [Related]

  • 14. Using the wisdom of the crowds to find critical errors in biomedical ontologies: a study of SNOMED CT.
    Mortensen JM, Minty EP, Januszyk M, Sweeney TE, Rector AL, Noy NF, Musen MA.
    J Am Med Inform Assoc; 2015 May 15; 22(3):640-8. PubMed ID: 25342179
    [Abstract] [Full Text] [Related]

  • 15. Logical definition-based identification of potential missing concepts in SNOMED CT.
    Hao X, Abeysinghe R, Roberts K, Cui L.
    BMC Med Inform Decis Mak; 2023 May 09; 23(Suppl 1):87. PubMed ID: 37161566
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  • 17. Matching biomedical ontologies based on formal concept analysis.
    Zhao M, Zhang S, Li W, Chen G.
    J Biomed Semantics; 2018 Mar 19; 9(1):11. PubMed ID: 29554977
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  • 19. Quality Assurance of UMLS Semantic Type Assignments Using SNOMED CT Hierarchies.
    Gu H, Chen Y, He Z, Halper M, Chen L.
    Methods Inf Med; 2016 Mar 19; 55(2):158-65. PubMed ID: 25925776
    [Abstract] [Full Text] [Related]

  • 20. Validating Auto-Suggested Changes for SNOMED CT in Non-Lattice Subgraphs Using Relational Machine Learning.
    Sun Q, Zhang GQ, Zhu W, Cui L.
    Stud Health Technol Inform; 2019 Aug 21; 264():378-382. PubMed ID: 31437949
    [Abstract] [Full Text] [Related]

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