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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...
Autores principales: | Kuang, Qifan, Wang, MinQi, Li, Rong, Dong, YongCheng, Li, Yizhou, Li, Menglong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
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 |
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