Predicting adverse drug reactions through interpretable deep learning framework

BACKGROUND: Adverse drug reactions (ADRs) are unintended and harmful reactions caused by normal uses of drugs. Predicting and preventing ADRs in the early stage of the drug development pipeline can help to enhance drug safety and reduce financial costs. METHODS: In this paper, we developed machine l...

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Detalles Bibliográficos
Autores principales: Dey, Sanjoy, Luo, Heng, Fokoue, Achille, Hu, Jianying, Zhang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6300887/
https://www.ncbi.nlm.nih.gov/pubmed/30591036
http://dx.doi.org/10.1186/s12859-018-2544-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6300887/
https://www.ncbi.nlm.nih.gov/pubmed/30591036
http://dx.doi.org/10.1186/s12859-018-2544-0

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