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International Symposium on Medical Data Analysis

ISMDA 2001: Medical Data Analysis pp 225–230Cite as

Multitask Pattern Recognition Algorithm for the Medical Decision Support System

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2199))

Abstract

The paper presents algorithms of the multitask recognition for the decomposed dependent approach. First one, with full probabilistic information and second one, algorithms with learning sequence. We have focused our attention on the multitask recognition technique and its application to the computer aided diagnostic and therapeutic decision in non-Hodgkin lymphoma disease. Adequate computer system was projected. This system has been practically implemented in Department of Hematology if Wroclaw Medical Academy in Poland.

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References

  1. Kurzynski, M., Puchala, E.,:Algorithms of the multiperspective recognition. Proc. of the 11th Int. Conf. on Pattern Recognition, Hague (1992)

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  2. Puchala, E., Kurzynski, M.,: A branch-and-bound algorithm for optimization of multiperspective classifier. Proceedings of the 12th IAPR, Jerusalem, Israel, (1994) 235–239

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  3. Parzen, E.,: On estimation of a probability density function and mode. Ann. Math. Statist., (1962) Vol.33, 1065–1076

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  4. Duda, R., Hart, P.,: Pattern classification and scene analysis. John Wiley & Sons, New York (1973)

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  5. Fukunaga, K.,: Introduction to Statistical Pattern Recognition, Academic Press, New York (1972).

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Author information

Authors and Affiliations

  1. Division of Systems and Computer Networks, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Edward Puchala & Marek Kurzynski

Authors
  1. Edward Puchala
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  2. Marek Kurzynski
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Editor information

Editors and Affiliations

  1. Polytechnical University of Madrid Artificial Intelligence Laboratory, Medical Informatics Group, 28660, Boadilla del Monte (Madrid), Spain

    Jose Crespo  & Victor Maojo  & 

  2. Health Bioinformatics Unit, Institute of Health Carlos III, Ctra. de Majadahonda-Pozuelo Km.2, 28220, Majadahonda (Madrid), Spain

    Fernando Martin

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© 2001 Springer-Verlag Berlin Heidelberg

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Cite this paper

Puchala, E., Kurzynski, M. (2001). Multitask Pattern Recognition Algorithm for the Medical Decision Support System. In: Crespo, J., Maojo, V., Martin, F. (eds) Medical Data Analysis. ISMDA 2001. Lecture Notes in Computer Science, vol 2199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45497-7_34

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  • DOI: https://doi.org/10.1007/3-540-45497-7_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42734-6

  • Online ISBN: 978-3-540-45497-7

  • eBook Packages: Springer Book Archive

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