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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...
Autores principales: | Wang, Tong, Xuan, Ping, Liu, Zonglin, Zhang, Tiangang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
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 |
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