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

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

Abstract 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. Howev...

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Bibliographic Details
Main Authors: Tong Wang, Ping Xuan, Zonglin Liu, Tiangang Zhang
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Bioinformatics
Subjects:
EMR-related disease prediction
Convolutional neural network
Bidirectional long short-term memory
Attention at phrase level
Attention at word level
Online Access:http://link.springer.com/article/10.1186/s12859-020-03554-x

Internet

http://link.springer.com/article/10.1186/s12859-020-03554-x

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