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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Vydané v:	ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine Ročník 2015; s. 258
Hlavní autori:	Rios, Anthony, Kavuluru, Ramakanth
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.09.2015
Predmet:	convolutional neural networks text classification medical subject headings
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