Clinical Context–Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation
BackgroundAutomatic text summarization (ATS) enables users to retrieve meaningful evidence from big data of biomedical repositories to make complex clinical decisions. Deep neural and recurrent networks outperform traditional machine-learning techniques in areas of natural la...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2020-10-01
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Series: | Journal of Medical Internet Research |
Online Access: | http://www.jmir.org/2020/10/e19810/ |