Generalizability of machine learning methods in detecting adverse drug events from clinical narratives in electronic medical records

We assessed the generalizability of machine learning methods using natural language processing (NLP) techniques to detect adverse drug events (ADEs) from clinical narratives in electronic medical records (EMRs). We constructed a new corpus correlating drugs with adverse drug events using 1,394 clini...

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Detalles Bibliográficos
Autores principales: Zitu, Md Muntasir, Zhang, Shijun, Owen, Dwight H., Chiang, Chienwei, Li, Lang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368879/
https://www.ncbi.nlm.nih.gov/pubmed/37502211
http://dx.doi.org/10.3389/fphar.2023.1218679

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368879/
https://www.ncbi.nlm.nih.gov/pubmed/37502211
http://dx.doi.org/10.3389/fphar.2023.1218679

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