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Qualitative analysis of manual annotations of clinical text with SNOMED CT
SNOMED CT provides about 300,000 codes with fine-grained concept definitions to support interoperability of health data. Coding clinical texts with medical terminologies it is not a trivial task and is prone to disagreements between coders. We conducted a qualitative analysis to identify sources of...
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| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6307753/ https://ncbi.nlm.nih.gov/pubmed/30589855 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0209547 |
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