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Coverage of Rare Disease Names in Standard Terminologies and Implications for Patients, Providers, and Research
Small numbers of patients are a special challenge for rare diseases research. Electronic health record (EHR) data can facilitate research if patients with rare diseases can be reliably identified. We estimate the coverage of the names of a set of 6,519 rare diseases. Using the UMLS, 697 (11%) diseas...
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| Publicat a: | AMIA Annu Symp Proc |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Medical Informatics Association
2014
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4419993/ https://ncbi.nlm.nih.gov/pubmed/25954361 |
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