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Using a Large Margin Context-Aware Convolutional Neural Network to Automatically Extract Disease-Dis...

Using a Large Margin Context-Aware Convolutional Neural Network to Automatically Extract Disease-Dis...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6913619

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

About this item

Full title

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

Publisher

Canada: JMIR Publications

Journal title

JMIR medical informatics, 2019-11, Vol.7 (4), p.e14502-e14502

Language

English

Formats

Publication information

Publisher

Canada: JMIR Publications

Subjects

Subjects and topics

More information

Scope and Contents

Contents

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 information on the latest DDA findings. First, co...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6913619

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6913619

Other Identifiers

ISSN

2291-9694

E-ISSN

2291-9694

DOI

10.2196/14502

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