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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Detalles Bibliográficos
Autores principales: Oellrich, Anika, Collier, Nigel, Smedley, Damian, Groza, Tudor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
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

Internet

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

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