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Combining Statistics and Case-Based Reasoning for Medical Research

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Computational Intelligence

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 1))

Abstract

In medicine many exceptions occur. In medical practice and in knowledge-based systems too, it is necessary to consider them and to deal with them appropriately. In medical studies and in research, exceptions should be explained.We present a system, called ISOR, that helps to explain cases that do not fit to a theoretical hypothesis. Starting points are situations where neither a well-developed theory nor reliable knowledge nor, at the beginning, a case base is available. So, instead of theoretical knowledge and intelligent experience, just some theoretical hypothesis and a set of measurements are given. In this chapter, we focus on the application of the ISOR system to the hypothesis that a specific exercise program improves the physical condition of dialysis patients. Additionally, for this application a method to restore missing data is presented.

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Author information

Authors and Affiliations

  1. Institute for Medical Informatics and Biometry, University of Rostock, Germany

    Rainer Schmidt

  2. Institute for Medical Informatics and Biometry (as above) and Sechenow, Institute of Evolutionary Physiolonary and Biochemistry, St.Petersburg, Russia

    Olga Vorobieva

Authors
  1. Rainer Schmidt
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  2. Olga Vorobieva
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Editor information

Editors and Affiliations

  1. School of Computer Science, Cardiff University , 5 The Parade,Roath, CF24 3AA, Cardiff, UK

    Christine L. Mumford

  2. University of South Australia Adelaide , Mawson Lakes Campus, South Australia, Australia

    Lakhmi C. Jain

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© 2009 Springer-Verlag Berlin Heidelberg

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Schmidt, R., Vorobieva, O. (2009). Combining Statistics and Case-Based Reasoning for Medical Research. In: Mumford, C.L., Jain, L.C. (eds) Computational Intelligence. Intelligent Systems Reference Library, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01799-5_21

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  • DOI: https://doi.org/10.1007/978-3-642-01799-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01798-8

  • Online ISBN: 978-3-642-01799-5

  • eBook Packages: EngineeringEngineering (R0)

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