Chemical-induced disease relation extraction via attention-based distant supervision

BACKGROUND: Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedical entities from scientific literature, its succes...

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Detalles Bibliográficos
Autores principales: Gu, Jinghang, Sun, Fuqing, Qian, Longhua, Zhou, Guodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6647285/
https://www.ncbi.nlm.nih.gov/pubmed/31331263
http://dx.doi.org/10.1186/s12859-019-2884-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6647285/
https://www.ncbi.nlm.nih.gov/pubmed/31331263
http://dx.doi.org/10.1186/s12859-019-2884-4

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