Cargando…
Generalized enrichment analysis improves the detection of adverse drug events from the biomedical literature
BACKGROUND: Identification of associations between marketed drugs and adverse events from the biomedical literature assists drug safety monitoring efforts. Assessing the significance of such literature-derived associations and determining the granularity at which they should be captured remains a ch...
Autores principales: | Winnenburg, Rainer, Shah, Nigam H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4918084/ https://www.ncbi.nlm.nih.gov/pubmed/27333889 http://dx.doi.org/10.1186/s12859-016-1080-z |
Ejemplares similares
-
Exploring adverse drug events at the class level
por: Winnenburg, Rainer, et al.
Publicado: (2015) -
Signal detection to identify serious adverse events (neuropsychiatric events) in travelers taking mefloquine for chemoprophylaxis of malaria
por: Naing, Cho, et al.
Publicado: (2012) -
Extracting semantically enriched events from biomedical literature
por: Miwa, Makoto, et al.
Publicado: (2012) -
Feasibility of Prioritizing Drug–Drug-Event Associations Found in Electronic Health Records
por: Banda, Juan M., et al.
Publicado: (2015) -
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY)—estimation of adverse event risks
por: Stegherr, Regina, et al.
Publicado: (2021)