Semisupervised Learning Based Disease-Symptom and Symptom-Therapeutic Substance Relation Extraction from Biomedical Literature

With the rapid growth of biomedical literature, a large amount of knowledge about diseases, symptoms, and therapeutic substances hidden in the literature can be used for drug discovery and disease therapy. In this paper, we present a method of constructing two models for extracting the relations bet...

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Detalles Bibliográficos
Autores principales: Feng, Qinlin, Gui, Yingyi, Yang, Zhihao, Wang, Lei, Li, Yuxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086401/
https://www.ncbi.nlm.nih.gov/pubmed/27822473
http://dx.doi.org/10.1155/2016/3594937

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086401/
https://www.ncbi.nlm.nih.gov/pubmed/27822473
http://dx.doi.org/10.1155/2016/3594937

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