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Journal Abstract Search
133 related items for PubMed ID: 21346971
1. Dissimilarities in the Logical Modeling of Apparently Similar Concepts in SNOMED CT. Agrawal A, Elhanan G, Halper M. AMIA Annu Symp Proc; 2010 Nov 13; 2010():212-6. PubMed ID: 21346971 [Abstract] [Full Text] [Related]
2. Evaluating lexical similarity and modeling discrepancies in the procedure hierarchy of SNOMED CT. Agrawal A. BMC Med Inform Decis Mak; 2018 Dec 12; 18(Suppl 4):88. PubMed ID: 30537959 [Abstract] [Full Text] [Related]
3. A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships. Ochs C, Geller J, Perl Y, Chen Y, Agrawal A, Case JT, Hripcsak G. J Am Med Inform Assoc; 2015 May 12; 22(3):628-39. PubMed ID: 25332354 [Abstract] [Full Text] [Related]
4. 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]
5. Targeting stopwords for quality assurance of SNOMED-CT. Burse R, McArdle G, Bertolotto M. Int J Med Inform; 2022 Nov 01; 167():104870. PubMed ID: 36148752 [Abstract] [Full Text] [Related]
6. 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 01; 78():177-184. PubMed ID: 29274386 [Abstract] [Full Text] [Related]
7. Contrasting lexical similarity and formal definitions in SNOMED CT: consistency and implications. Agrawal A, Elhanan G. J Biomed Inform; 2014 Feb 01; 47():192-8. PubMed ID: 24239752 [Abstract] [Full Text] [Related]
8. Identifying problematic concepts in SNOMED CT using a lexical approach. Agrawal A, Perl Y, Elhanan G. Stud Health Technol Inform; 2013 Feb 01; 192():773-7. PubMed ID: 23920662 [Abstract] [Full Text] [Related]
15. 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 13; 58(2):73-80. PubMed ID: 23602702 [Abstract] [Full Text] [Related]
16. A deep learning approach to identify missing is-a relations in SNOMED CT. Abeysinghe R, Zheng F, Bernstam EV, Shi J, Bodenreider O, Cui L. J Am Med Inform Assoc; 2023 Feb 16; 30(3):475-484. PubMed ID: 36539234 [Abstract] [Full Text] [Related]
17. A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization. He Z, Geller J, Chen Y. Artif Intell Med; 2015 May 16; 64(1):29-40. PubMed ID: 25890688 [Abstract] [Full Text] [Related]
19. Nursing interventions classification in systematized nomenclature of medicine clinical terms: a cross-mapping validation. Park HT, Lu DF, Konicek D, Delaney C. Comput Inform Nurs; 2007 May 16; 25(4):198-208; quiz 209-10. PubMed ID: 17625400 [Abstract] [Full Text] [Related]