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Clinical Context–Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation
BACKGROUND: Automatic 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 language processing and...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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JMIR Publications
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647812/ https://www.ncbi.nlm.nih.gov/pubmed/33095174 http://dx.doi.org/10.2196/19810 |