Chinese Clinical Named Entity Recognition in Electronic Medical Records: Development of a Lattice Long Short-Term Memory Model With Contextualized Character Representations

BACKGROUND: Clinical named entity recognition (CNER), whose goal is to automatically identify clinical entities in electronic medical records (EMRs), is an important research direction of clinical text data mining and information extraction. The promotion of CNER can provide support for clinical dec...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yongbin, Wang, Xiaohua, Hui, Linhu, Zou, Liping, Li, Hongjin, Xu, Luo, Liu, Weihai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501578/
https://www.ncbi.nlm.nih.gov/pubmed/32885786
http://dx.doi.org/10.2196/19848

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501578/
https://www.ncbi.nlm.nih.gov/pubmed/32885786
http://dx.doi.org/10.2196/19848

Ejemplares similares