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Generation of Silver Standard Concept Annotations from Biomedical Texts with Special Relevance to Phenotypes
Electronic health records and scientific articles possess differing linguistic characteristics that may impact the performance of natural language processing tools developed for one or the other. In this paper, we investigate the performance of four extant concept recognition tools: the clinical Tex...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4301805/ https://ncbi.nlm.nih.gov/pubmed/25607983 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0116040 |
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