Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions

BACKGROUND: Inferring diseases related to the patient’s electronic medical records (EMRs) is of great significance for assisting doctor diagnosis. Several recent prediction methods have shown that deep learning-based methods can learn the deep and complex information contained in EMRs. However, they...

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Detalles Bibliográficos
Autores principales: Wang, Tong, Xuan, Ping, Liu, Zonglin, Zhang, Tiangang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275511/
https://www.ncbi.nlm.nih.gov/pubmed/32503424
http://dx.doi.org/10.1186/s12859-020-03554-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275511/
https://www.ncbi.nlm.nih.gov/pubmed/32503424
http://dx.doi.org/10.1186/s12859-020-03554-x

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