A Systematic Investigation of Computation Models for Predicting Adverse Drug Reactions (ADRs)

BACKGROUND: Early and accurate identification of adverse drug reactions (ADRs) is critically important for drug development and clinical safety. Computer-aided prediction of ADRs has attracted increasing attention in recent years, and many computational models have been proposed. However, because of...

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Detalles Bibliográficos
Autores principales: Kuang, Qifan, Wang, MinQi, Li, Rong, Dong, YongCheng, Li, Yizhou, Li, Menglong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4152017/
https://www.ncbi.nlm.nih.gov/pubmed/25180585
http://dx.doi.org/10.1371/journal.pone.0105889

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4152017/
https://www.ncbi.nlm.nih.gov/pubmed/25180585
http://dx.doi.org/10.1371/journal.pone.0105889

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