Convolutional Neural Networks for Biomedical Text Classification: Application in Indexing Biomedical Articles

Building high accuracy text classifiers is an important task in biomedicine given the wealth of information hidden in unstructured narratives such as research articles and clinical documents. Due to large feature spaces, traditionally, discriminative approaches such as logistic regression and suppor...

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Bibliographic Details

Published in:	ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine Vol. 2015; p. 258
Main Authors:	Rios, Anthony, Kavuluru, Ramakanth
Format:	Journal Article
Language:	English
Published:	United States 01.09.2015
Subjects:	convolutional neural networks text classification medical subject headings
Online Access:	Get more information
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