Using a Large Margin Context-Aware Convolutional Neural Network to Automatically Extract Disease-Disease Association from Literature: Comparative Analytic Study

Research on disease-disease association (DDA), like comorbidity and complication, provides important insights into disease treatment and drug discovery, and a large body of the literature has been published in the field. However, using current search tools, it is not easy for researchers to retrieve...

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Veröffentlicht in:	JMIR Medical Informatics Jg. 7; H. 4; S. e14502
Hauptverfasser:	Lai, Po-Ting, Lu, Wei-Liang, Kuo, Ting-Rung, Chung, Chia-Ru, Han, Jen-Chieh, Tsai, Richard Tzong-Han, Horng, Jorng-Tzong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Canada JMIR Publications Inc 26.11.2019 JMIR Publications
Schlagworte:	Original Paper deep learning biological relation extraction convolutional neural networks biomedical natural language processing disease-disease association
ISSN:	2291-9694, 2291-9694
Online-Zugang:	Volltext
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