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An empirically derived taxonomy of errors in SNOMED CT
Ontologies underpin methods throughout biomedicine and biomedical informatics. However, as ontologies increase in size and complexity, so does the likelihood that they contain errors. Effective methods that identify errors are typically manual and expert-driven; however, automated methods are essent...
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| Veröffentlicht in: | AMIA Annu Symp Proc |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Medical Informatics Association
2014
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4419962/ https://ncbi.nlm.nih.gov/pubmed/25954397 |
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