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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...
Autores principales: | Kim, Siun, Kang, Taegwan, Chung, Tae Kyu, Choi, Yoona, Hong, YeSol, Jung, Kyomin, Lee, Howard |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
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 |
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