Convolutional neural networks for biomedical text classification: application in indexing biomedical articles

@article{Rios2015ConvolutionalNN,
  title={Convolutional neural networks for biomedical text classification: application in indexing biomedical articles},
  author={Anthony Rios and Ramakanth Kavuluru},
  journal={ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine},
  year={2015},
  volume={2015},
  pages={
          258-267
        }
}
  • Anthony Rios, Ramakanth Kavuluru
  • Published in BCB '15 2015
  • Computer Science, Medicine
  • ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine
  • 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. [...] Key Result Additional experiments on 50 high frequency terms in the dataset also show improvements with CNNs. Our results indicate the strong potential of CNNs in biomedical text classification tasks.Expand Abstract

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