Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study

BACKGROUND: Drug-drug interactions (DDIs) are a major contributing factor for unexpected adverse drug events (ADEs). However, few of knowledge resources cover the severity information of ADEs that is critical for prioritizing the medical need. The objective of the study is to develop and evaluate a...

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Detalles Bibliográficos
Autores principales: Jiang, Guoqian, Liu, Hongfang, Solbrig, Harold R, Chute, Christopher G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379609/
https://www.ncbi.nlm.nih.gov/pubmed/25829948
http://dx.doi.org/10.1186/s13040-015-0044-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379609/
https://www.ncbi.nlm.nih.gov/pubmed/25829948
http://dx.doi.org/10.1186/s13040-015-0044-6

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