Chinese Clinical Named Entity Recognition From Electronic Medical Records Based on Multisemantic Features by Using Robustly Optimized Bidirectional Encoder Representation From Transformers Pretraining Approach Whole Word Masking and Convolutional Neural Networks: Model Development and Validation

BACKGROUND: Clinical electronic medical records (EMRs) contain important information on patients’ anatomy, symptoms, examinations, diagnoses, and medications. Large-scale mining of rich medical information from EMRs will provide notable reference value for medical research. With the complexity of Ch...

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Detalles Bibliográficos
Autores principales: Wang, Weijie, Li, Xiaoying, Ren, Huiling, Gao, Dongping, Fang, An
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209791/
https://www.ncbi.nlm.nih.gov/pubmed/37163343
http://dx.doi.org/10.2196/44597

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209791/
https://www.ncbi.nlm.nih.gov/pubmed/37163343
http://dx.doi.org/10.2196/44597

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