Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning

BACKGROUND: Pharmacovigilance and drug-safety surveillance are crucial for monitoring adverse drug events (ADEs), but the main ADE-reporting systems such as Food and Drug Administration Adverse Event Reporting System face challenges such as underreporting. Therefore, as complementary surveillance, d...

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Detalles Bibliográficos
Autores principales: Li, Fei, Liu, Weisong, Yu, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288593/
https://www.ncbi.nlm.nih.gov/pubmed/30478023
http://dx.doi.org/10.2196/12159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288593/
https://www.ncbi.nlm.nih.gov/pubmed/30478023
http://dx.doi.org/10.2196/12159

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