Implementation and comparison of two text mining methods with a standard pharmacovigilance method for signal detection of medication errors

BACKGROUND: Medication errors have been identified as the most common preventable cause of adverse events. The lack of granularity in medication error terminology has led pharmacovigilance experts to rely on information in individual case safety reports’ (ICSRs) codes and narratives for signal detec...

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Detalles Bibliográficos
Autores principales: Eskildsen, Nadine Kadi, Eriksson, Robert, Christensen, Sten B., Aghassipour, Tamilla Stine, Bygsø, Mikael Juul, Brunak, Søren, Hansen, Suzanne Lisbet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245808/
https://www.ncbi.nlm.nih.gov/pubmed/32448248
http://dx.doi.org/10.1186/s12911-020-1097-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245808/
https://www.ncbi.nlm.nih.gov/pubmed/32448248
http://dx.doi.org/10.1186/s12911-020-1097-0

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