Entity relation extraction from electronic medical records based on improved annotation rules and BiLSTM-CRF

BACKGROUND: Extracting entities and their relationships from electronic medical records (EMRs) is an important research direction in the development of medical informatization. Recently, a method was proposed to transform entity relation extraction into entity recognition by using annotation rules,...

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Detalles Bibliográficos
Autores principales: Chen, Tingyin, Hu, Yongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8506757/
https://www.ncbi.nlm.nih.gov/pubmed/34733967
http://dx.doi.org/10.21037/atm-21-3828

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8506757/
https://www.ncbi.nlm.nih.gov/pubmed/34733967
http://dx.doi.org/10.21037/atm-21-3828

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