Cargando…
Feasibility of Prioritizing Drug–Drug-Event Associations Found in Electronic Health Records
BACKGROUND AND OBJECTIVE: Several studies have demonstrated the ability to detect adverse events potentially related to multiple drug exposure via data mining. However, the number of putative associations produced by such computational approaches is typically large, making experimental validation di...
Autores principales: | Banda, Juan M., Callahan, Alison, Winnenburg, Rainer, Strasberg, Howard R., Cami, Aurel, Reis, Ben Y., Vilar, Santiago, Hripcsak, George, Dumontier, Michel, Shah, Nigam Haresh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712252/ https://www.ncbi.nlm.nih.gov/pubmed/26446143 http://dx.doi.org/10.1007/s40264-015-0352-2 |
Ejemplares similares
-
Analyzing Information Seeking and Drug-Safety Alert Response by Health Care Professionals as New Methods for Surveillance
por: Callahan, Alison, et al.
Publicado: (2015) -
Generalized enrichment analysis improves the detection of adverse drug events from the biomedical literature
por: Winnenburg, Rainer, et al.
Publicado: (2016) -
Pharmacointeraction Network Models Predict Unknown Drug-Drug Interactions
por: Cami, Aurel, et al.
Publicado: (2013) -
Concordance and predictive value of two adverse drug event data sets
por: Cami, Aurel, et al.
Publicado: (2014) -
U-Index, a dataset and an impact metric for informatics tools and databases
por: Callahan, Alison, et al.
Publicado: (2018)