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Annotating and detecting phenotypic information for chronic obstructive pulmonary disease
OBJECTIVES: Chronic obstructive pulmonary disease (COPD) phenotypes cover a range of lung abnormalities. To allow text mining methods to identify pertinent and potentially complex information about these phenotypes from textual data, we have developed a novel annotated corpus, which we use to train...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951876/ https://www.ncbi.nlm.nih.gov/pubmed/31984360 http://dx.doi.org/10.1093/jamiaopen/ooz009 |