Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss

Drug-drug interactions (DDIs) may bring huge health risks and dangerous effects to a patient’s body when taking two or more drugs at the same time or within a certain period of time. Therefore, the automatic extraction of unknown DDIs has great potential for the development of pharmaceutical agents...

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Detalles Bibliográficos
Autores principales: Sun, Xia, Dong, Ke, Ma, Long, Sutcliffe, Richard, He, Feijuan, Chen, Sushing, Feng, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514143/
https://www.ncbi.nlm.nih.gov/pubmed/33266753
http://dx.doi.org/10.3390/e21010037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514143/
https://www.ncbi.nlm.nih.gov/pubmed/33266753
http://dx.doi.org/10.3390/e21010037

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