Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning

BACKGROUND: Medication and adverse drug event (ADE) information extracted from electronic health record (EHR) notes can be a rich resource for drug safety surveillance. Existing observational studies have mainly relied on structured EHR data to obtain ADE information; however, ADEs are often buried...

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Detalles Bibliográficos
Autores principales: Munkhdalai, Tsendsuren, Liu, Feifan, 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/PMC5943628/
https://www.ncbi.nlm.nih.gov/pubmed/29695376
http://dx.doi.org/10.2196/publichealth.9361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943628/
https://www.ncbi.nlm.nih.gov/pubmed/29695376
http://dx.doi.org/10.2196/publichealth.9361

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