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Journal Abstract Search

151 related items for PubMed ID: 21515545

  • 1. Getting the foot out of the pelvis: modeling problems affecting use of SNOMED CT hierarchies in practical applications.
    Rector AL, Brandt S, Schneider T.
    J Am Med Inform Assoc; 2011; 18(4):432-40. PubMed ID: 21515545
    [Abstract] [Full Text] [Related]

  • 2. Lexically suggest, logically define: quality assurance of the use of qualifiers and expected results of post-coordination in SNOMED CT.
    Rector A, Iannone L.
    J Biomed Inform; 2012 Apr; 45(2):199-209. PubMed ID: 22024315
    [Abstract] [Full Text] [Related]

  • 3. Scalable quality assurance for large SNOMED CT hierarchies using subject-based subtaxonomies.
    Ochs C, Geller J, Perl Y, Chen Y, Xu J, Min H, Case JT, Wei Z.
    J Am Med Inform Assoc; 2015 May; 22(3):507-18. PubMed ID: 25336594
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  • 4. Structural methodologies for auditing SNOMED.
    Wang Y, Halper M, Min H, Perl Y, Chen Y, Spackman KA.
    J Biomed Inform; 2007 Oct; 40(5):561-81. PubMed ID: 17276736
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  • 5. 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 Oct; 55(2):158-65. PubMed ID: 25925776
    [Abstract] [Full Text] [Related]

  • 6. Auditing SNOMED relationships using a converse abstraction network.
    Wei D, Halper M, Elhanan G, Chen Y, Perl Y, Geller J, Spackman KA.
    AMIA Annu Symp Proc; 2009 Nov 14; 2009():685-9. PubMed ID: 20351941
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  • 8. The readiness of SNOMED problem list concepts for meaningful use of electronic health records.
    Agrawal A, He Z, Perl Y, Wei D, Halper M, Elhanan G, Chen Y.
    Artif Intell Med; 2013 Jun 14; 58(2):73-80. PubMed ID: 23602702
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  • 9. SNOMED CT Concept Hierarchies for Sharing Definitions of Clinical Conditions Using Electronic Health Record Data.
    Willett DL, Kannan V, Chu L, Buchanan JR, Velasco FT, Clark JD, Fish JS, Ortuzar AR, Youngblood JE, Bhat DG, Basit MA.
    Appl Clin Inform; 2018 Jul 14; 9(3):667-682. PubMed ID: 30157499
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  • 10. 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
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  • 13. Competing interpretations of disorder codes in SNOMED CT and ICD.
    Schulz S, Rector A, Rodrigues JM, Spackman K.
    AMIA Annu Symp Proc; 2012 Jul 01; 2012():819-27. PubMed ID: 23304356
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  • 17. Inter-terminology mapping of nursing problems.
    Kim TY, Hardiker N, Coenen A.
    J Biomed Inform; 2014 Jun 01; 49():213-20. PubMed ID: 24632297
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