Chinese-Named Entity Recognition From Adverse Drug Event Records: Radical Embedding-Combined Dynamic Embedding–Based BERT in a Bidirectional Long Short-term Conditional Random Field (Bi-LSTM-CRF) Model

BACKGROUND: With the increasing variety of drugs, the incidence of adverse drug events (ADEs) is increasing year by year. Massive numbers of ADEs are recorded in electronic medical records and adverse drug reaction (ADR) reports, which are important sources of potential ADR information. Meanwhile, i...

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Detalles Bibliográficos
Autores principales: Wu, Hong, Ji, Jiatong, Tian, Haimei, Chen, Yao, Ge, Weihong, Zhang, Haixia, Yu, Feng, Zou, Jianjun, Nakamura, Mitsuhiro, Liao, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686410/
https://www.ncbi.nlm.nih.gov/pubmed/34855616
http://dx.doi.org/10.2196/26407

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686410/
https://www.ncbi.nlm.nih.gov/pubmed/34855616
http://dx.doi.org/10.2196/26407

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