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...

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Detalles Bibliográficos
Autores principales: Ju, Meizhi, Short, Andrea D, Thompson, Paul, Bakerly, Nawar Diar, Gkoutos, Georgios V, Tsaprouni, Loukia, Ananiadou, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Research and Applications
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

Internet

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

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