Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques

INTRODUCTION: Concerns have been raised over the quality of drug safety information, particularly data completeness, collected through spontaneous reporting systems (SRS), although regulatory agencies routinely use SRS data to guide their pharmacovigilance programs. We expected that collecting addit...

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Detalles Bibliográficos
Autores principales: Kim, Siun, Kang, Taegwan, Chung, Tae Kyu, Choi, Yoona, Hong, YeSol, Jung, Kyomin, Lee, Howard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10344995/
https://www.ncbi.nlm.nih.gov/pubmed/37330415
http://dx.doi.org/10.1007/s40264-023-01323-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10344995/
https://www.ncbi.nlm.nih.gov/pubmed/37330415
http://dx.doi.org/10.1007/s40264-023-01323-2

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