Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN

Specific entity terms such as disease, test, symptom, and genes in Electronic Medical Record (EMR) can be extracted by Named Entity Recognition (NER). However, limited resources of labeled EMR pose a great challenge for mining medical entity terms. In this study, a novel multitask bi-directional RNN...

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Detalles Bibliográficos
Autores principales: Dong, Xishuang, Chowdhury, Shanta, Qian, Lijun, Li, Xiangfang, Guan, Yi, Yang, Jinfeng, Yu, Qiubin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6497281/
https://www.ncbi.nlm.nih.gov/pubmed/31048840
http://dx.doi.org/10.1371/journal.pone.0216046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6497281/
https://www.ncbi.nlm.nih.gov/pubmed/31048840
http://dx.doi.org/10.1371/journal.pone.0216046

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