Recurrent Neural Networks in Computer-Based Clinical Decision Support for Laryngopathies: An Experimental Study

@inproceedings{Szkola2011RecurrentNN,
  title={Recurrent Neural Networks in Computer-Based Clinical Decision Support for Laryngopathies: An Experimental Study},
  author={Jaroslaw Szkola and Krzysztof Pancerz and Jan Warchol},
  booktitle={Comp. Int. and Neurosc.},
  year={2011}
}
The main goal of this paper is to give the basis for creating a computer-based clinical decision support (CDS) system for laryngopathies. One of approaches which can be used in the proposed CDS is based on the speech signal analysis using recurrent neural networks (RNNs). RNNs can be used for pattern recognition in time series data due to their ability of memorizing some information from the past. The Elman networks (ENs) are a classical representative of RNNs. To improve learning ability of… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 21 references

and J

J. Szkoła, K. Pancerz
Warchoł, “Computer diagnosis of laryngopathies based on temporal pattern recognition in speech signal,” Bio-Algorithms and Med-Systems, vol. 6, no. 12, pp. 75–80 • 2010

and K

J. Warchoł, J. Szkoła
Pancerz, “Towards computer diagnosis of laryngopathies based on speech spectrum analysis: a preliminary approach,” in Proceedings of the 3rd International Conference on Bio-Inpsired Systems and Signal Processing, Proceedings (BIOSIGNALS ’10), A. Fred, J. Filipe, and H. Gamboa, Eds., pp. 464–467, Val • 2010

Current Diagnosis and Treatment in Otolaryngology—Head and Neck Surgery

A. Lalvani
McGraw-Hill, New York, NY, USA • 2008

Data Mining

K. Cios, W. Pedrycz, R. Swiniarski, L. Kurgan
A Knowledge Discovery Approach, Springer, New York, NY, USA • 2007

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