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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...
Autores principales: | Wu, Hong, Ji, Jiatong, Tian, Haimei, Chen, Yao, Ge, Weihong, Zhang, Haixia, Yu, Feng, Zou, Jianjun, Nakamura, Mitsuhiro, Liao, Jun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
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 |
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