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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301805/ https://www.ncbi.nlm.nih.gov/pubmed/25607983 http://dx.doi.org/10.1371/journal.pone.0116040 |