Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework

Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance and drug monitoring prove to be costly and time-consuming, computational methods have emerged as promising alternatives. However, most existing computational methods primarily focus on predicting whet...

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Detalles Bibliográficos
Autores principales: Zhao, Haochen, Ni, Peng, Zhao, Qichang, Liang, Xiao, Ai, Di, Erhardt, Shannon, Wang, Jun, Li, Yaohang, Wang, Jianxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449791/
https://www.ncbi.nlm.nih.gov/pubmed/37620651
http://dx.doi.org/10.1038/s42003-023-05243-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449791/
https://www.ncbi.nlm.nih.gov/pubmed/37620651
http://dx.doi.org/10.1038/s42003-023-05243-w

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