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Journal Abstract Search
177 related items for PubMed ID: 38414056
21. 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; 64(1):29-40. PubMed ID: 25890688 [Abstract] [Full Text] [Related]
24. Concept Coverage Analysis of Ophthalmic Infections and Trauma among the Standardized Medical Terminologies SNOMED-CT, ICD-10-CM, and ICD-11. Tavakoli K, Kalaw FGP, Bhanvadia S, Hogarth M, Baxter SL. Ophthalmol Sci; 2023 Dec; 3(4):100337. PubMed ID: 37449050 [Abstract] [Full Text] [Related]
25. Mapping Equivalence of German Emergency Department Medical Record Concepts with SNOMED CT After Implementation with HL7 CDA. Brammen D, Dewenter H, Heitmann KU, Thiemann V, Majeed RW, Walcher F, Röhrig R, Thun S. Stud Health Technol Inform; 2017 Dec; 243():175-179. PubMed ID: 28883195 [Abstract] [Full Text] [Related]
26. Cross-Mapping the Portuguese Nursing Ontology with ICNP, SNOMED CT and NANDA-I. Oliveira F, Morais EJ, Cardoso A, Brito A, Gonçalves P, Bastos F, Machado N, Cruz I, Sousa P, Pereira F. Stud Health Technol Inform; 2024 Jul 24; 315():87-91. PubMed ID: 39049231 [Abstract] [Full Text] [Related]
27. Content coverage of SNOMED-CT toward the ICU nursing flowsheets and the acuity indicators. Kim H, Harris MR, Savova G, Chute CG. Stud Health Technol Inform; 2006 Jul 24; 122():722-6. PubMed ID: 17102358 [Abstract] [Full Text] [Related]
31. Methodological Issues in Using a Common Data Model of COVID-19 Vaccine Uptake and Important Adverse Events of Interest: Feasibility Study of Data and Connectivity COVID-19 Vaccines Pharmacovigilance in the United Kingdom. Delanerolle G, Williams R, Stipancic A, Byford R, Forbes A, Tsang RSM, Anand SN, Bradley D, Murphy S, Akbari A, Bedston S, Lyons RA, Owen R, Torabi F, Beggs J, Chuter A, Balharry D, Joy M, Sheikh A, Hobbs FDR, de Lusignan S. JMIR Form Res; 2022 Aug 22; 6(8):e37821. PubMed ID: 35786634 [Abstract] [Full Text] [Related]
32. 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]
35. Mapping Wound Assessment Data Elements in SNOMED CT. Block L, Handfield S. Stud Health Technol Inform; 2016 Jul 01; 225():1078-9. PubMed ID: 27332492 [Abstract] [Full Text] [Related]
36. Reliability of SNOMED-CT coding by three physicians using two terminology browsers. Chiang MF, Hwang JC, Yu AC, Casper DS, Cimino JJ, Starren JB. AMIA Annu Symp Proc; 2006 Jul 01; 2006():131-5. PubMed ID: 17238317 [Abstract] [Full Text] [Related]
37. 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]
38. Developing hierarchical standardized home care nursing statements using nursing standard terminologies. Lee J, Kang MJ, Garcia JP, Dykes PC. Int J Med Inform; 2020 Sep 12; 141():104227. PubMed ID: 32763790 [Abstract] [Full Text] [Related]
39. Using SNOMED CT to represent two interface terminologies. Rosenbloom ST, Brown SH, Froehling D, Bauer BA, Wahner-Roedler DL, Gregg WM, Elkin PL. J Am Med Inform Assoc; 2009 Sep 12; 16(1):81-8. PubMed ID: 18952944 [Abstract] [Full Text] [Related]
40. Validation of concept mapping between PNDS and SNOMED CT. Westra BL, Bauman R, Delaney CW, Lundberg CB, Petersen C. AORN J; 2008 Jun 12; 87(6):1217-29. PubMed ID: 18549835 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]