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How to Acquire and Structuralize Knowledge for Medical Rule-Based Systems?

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Knowledge-Driven Computing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 102))

Summary

The intention of a medical expert system is to help doctors make right diagnostic and therapeutic decisions concerning, sometimes not very well-known to them, diseases. This expert system needs a high quality knowledge base. In order to design such a base one has to reach sources containing knowledge that is current, rich and based on reliable medical experiments. At the same time, due to various formats of this knowledge storing, its acquisition and structuralization to the form required by expert systems is not an easy task. Focusing our attention on medical rule-based systems, we propose the algorithms and tools that will be useful while designing such a knowledge base.

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Author information

Authors and Affiliations

  1. Institute of Control and Information Engineering, Poznań University of Technology, Pl. Sklodowskiej Curie 5, 30-965, Poznań

    Beata Jankowska

  2. Institute of Mathematics, ul. Piotrowo 3a, 60-965, Poznań

    Magdalena Szymkowiak

Authors
  1. Beata Jankowska
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  2. Magdalena Szymkowiak
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Editor information

Editors and Affiliations

  1. ETSI Informática (3.2.49) UMA, Campus de Teatinos, 29071, Málaga, Spain

    Carlos Cotta

  2. Department of Mathematics, The Technion – Israel Institute of Technology, 32000, Haifa, Israel

    Simeon Reich

  3. Institute of Informatics, AGH – University of Science and Technology, al. Mickiewicza 30, 30-059, Kraków, Poland

    Robert Schaefer

  4. Institute of Automatics, AGH – University of Science and Technology, al. Mickiewicza 30, 30-059, Kraków, Poland

    Antoni Ligęza

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© 2008 Springer-Verlag Berlin Heidelberg

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Jankowska, B., Szymkowiak, M. (2008). How to Acquire and Structuralize Knowledge for Medical Rule-Based Systems?. In: Cotta, C., Reich, S., Schaefer, R., Ligęza, A. (eds) Knowledge-Driven Computing. Studies in Computational Intelligence, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77475-4_7

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  • DOI: https://doi.org/10.1007/978-3-540-77475-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77474-7

  • Online ISBN: 978-3-540-77475-4

  • eBook Packages: EngineeringEngineering (R0)

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