173 related articles for article (PubMed ID: 28532962)
1. From SNOMED CT to Uberon: Transferability of evaluation methodology between similarly structured ontologies.
Elhanan G; Ochs C; Mejino JLV; Liu H; Mungall CJ; Perl Y
Artif Intell Med; 2017 Jun; 79():9-14. PubMed ID: 28532962
[TBL] [Abstract][Full Text] [Related]
2. 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; 83():135-149. PubMed ID: 29852316
[TBL] [Abstract][Full Text] [Related]
3. 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; 55(2):158-65. PubMed ID: 25925776
[TBL] [Abstract][Full Text] [Related]
4. Missing lateral relationships in top-level concepts of an ontology.
Zheng L; Chen Y; Min H; Hildebrand PL; Liu H; Halper M; Geller J; de Coronado S; Perl Y
BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 10):305. PubMed ID: 33319709
[TBL] [Abstract][Full Text] [Related]
5. Validating UMLS Semantic Type Assignments Using SNOMED CT Semantic Tags.
Gu H; He Z; Wei D; Elhanan G; Chen Y
Methods Inf Med; 2018 Feb; 57(1):43-53. PubMed ID: 29621830
[TBL] [Abstract][Full Text] [Related]
6. A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies.
Ochs C; Geller J; Perl Y; Musen MA
J Biomed Inform; 2016 Aug; 62():90-105. PubMed ID: 27345947
[TBL] [Abstract][Full Text] [Related]
7. Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.
Wang Y; Halper M; Wei D; Gu H; Perl Y; Xu J; Elhanan G; Chen Y; Spackman KA; Case JT; Hripcsak G
J Biomed Inform; 2012 Feb; 45(1):1-14. PubMed ID: 21907827
[TBL] [Abstract][Full Text] [Related]
8. Outlier concepts auditing methodology for a large family of biomedical ontologies.
Zheng L; Min H; Chen Y; Keloth V; Geller J; Perl Y; Hripcsak G
BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 10):296. PubMed ID: 33319713
[TBL] [Abstract][Full Text] [Related]
9. Abstraction of complex concepts with a refined partial-area taxonomy of SNOMED.
Wang Y; Halper M; Wei D; Perl Y; Geller J
J Biomed Inform; 2012 Feb; 45(1):15-29. PubMed ID: 21878396
[TBL] [Abstract][Full Text] [Related]
10. 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; 22(3):640-8. PubMed ID: 25342179
[TBL] [Abstract][Full Text] [Related]
11. Interoperability of Disease Concepts in Clinical and Research Ontologies: Contrasting Coverage and Structure in the Disease Ontology and SNOMED CT.
Raje S; Bodenreider O
Stud Health Technol Inform; 2017; 245():925-929. PubMed ID: 29295235
[TBL] [Abstract][Full Text] [Related]
12. An empirically derived taxonomy of errors in SNOMED CT.
Mortensen JM; Musen MA; Noy NF
AMIA Annu Symp Proc; 2014; 2014():899-906. PubMed ID: 25954397
[TBL] [Abstract][Full Text] [Related]
13. Analyzing structural changes in SNOMED CT's Bacterial infectious diseases using a visual semantic delta.
Ochs C; Case JT; Perl Y
J Biomed Inform; 2017 Mar; 67():101-116. PubMed ID: 28215561
[TBL] [Abstract][Full Text] [Related]
14. Sharing ontology between ICD 11 and SNOMED CT will enable seamless re-use and semantic interoperability.
Rodrigues JM; Schulz S; Rector A; Spackman K; Üstün B; Chute CG; Della Mea V; Millar J; Persson KB
Stud Health Technol Inform; 2013; 192():343-6. PubMed ID: 23920573
[TBL] [Abstract][Full Text] [Related]
15. Supporting biomedical ontology evolution by identifying outdated concepts and the required type of change.
Cardoso SD; Pruski C; Da Silveira M
J Biomed Inform; 2018 Nov; 87():1-11. PubMed ID: 30205172
[TBL] [Abstract][Full Text] [Related]
16. Using ontology-based semantic similarity to facilitate the article screening process for systematic reviews.
Ji X; Ritter A; Yen PY
J Biomed Inform; 2017 May; 69():33-42. PubMed ID: 28302519
[TBL] [Abstract][Full Text] [Related]
17. Targeting stopwords for quality assurance of SNOMED-CT.
Burse R; McArdle G; Bertolotto M
Int J Med Inform; 2022 Nov; 167():104870. PubMed ID: 36148752
[TBL] [Abstract][Full Text] [Related]
18. The use of semantic distance metrics to support ontology audit.
Wang J; Day R; Visweswaran S; Hogan W
AMIA Annu Symp Proc; 2010 Nov; 2010():842-6. PubMed ID: 21347097
[TBL] [Abstract][Full Text] [Related]
19. 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; 78():177-184. PubMed ID: 29274386
[TBL] [Abstract][Full Text] [Related]
20. 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; 20(Suppl 10):284. PubMed ID: 33319711
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]