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Ontology Design for Medical Diagnostic Knowledge

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Human – Computer Systems Interaction: Backgrounds and Applications 2

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 99))

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Abstract

The paper gives an overview of research devoted to developing a semi-automatic methodology of building a semantic model of medical diagnostic knowledge. The methodology is based on natural language processing methods which are applied to analyze medical texts. As a result of the process, the semantic model of symptoms is generated. This model is a foundation for building a model of diagnostic technologies. The described methodology and the resulting model are developed specifically for the Polish language.

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References

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Author information

Authors and Affiliations

  1. Programming Department, University of Information Technology and Management, Rzeszów, Poland

    M. Jaszuk & A. Walczak

  2. Information Systems Institute, Military University of Technology, Warsaw, Poland

    M. Jaszuk, G. Szostek & A. Walczak

Authors
  1. M. Jaszuk
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  2. G. Szostek
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  3. A. Walczak
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Editor information

Editors and Affiliations

  1. Department of Expert Systems and Artificial Intelligence, University of Information Technology and Management, 35-225, Rzeszów, Poland

    Zdzisław S. Hippe  & Teresa Mroczek  & 

  2. M. Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, 4 Ks. Trojdena Str.,, 02-109, Warsaw, Poland

    Juliusz L. Kulikowski

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© 2012 Springer-Verlag Berlin Heidelberg

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Jaszuk, M., Szostek, G., Walczak, A. (2012). Ontology Design for Medical Diagnostic Knowledge. In: Hippe, Z.S., Kulikowski, J.L., Mroczek, T. (eds) Human – Computer Systems Interaction: Backgrounds and Applications 2. Advances in Intelligent and Soft Computing, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23172-8_13

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  • DOI: https://doi.org/10.1007/978-3-642-23172-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23171-1

  • Online ISBN: 978-3-642-23172-8

  • eBook Packages: EngineeringEngineering (R0)

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