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...

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Detalles Bibliográficos
Autores principales: Afzal, Muhammad, Alam, Fakhare, Malik, Khalid Mahmood, Malik, Ghaus M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647812/
https://www.ncbi.nlm.nih.gov/pubmed/33095174
http://dx.doi.org/10.2196/19810

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