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Adaptation Problems in Therapeutic Case-Based Reasoning Systems

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Book cover Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

Abstract

Case-based Reasoning has become a successful technique in many application domains. Unfortunately, so far it is not so successful in medicine. One, probably the main reason is that on the one side in Case-based Reasoning the adaptation problem can not be solved in a domain independent way. On the other side in medicine the adaptation is often more difficult than in other domains, because more and complex features have to be considered. In this paper, we want to indicate possibilities how to solve adaption problems in medical Case-based Reasoning systems.

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Author information

Authors and Affiliations

  1. Institut für Medizinische Informatik und Biometrie, Universität Rostock, Rembrandtstr. 16 / 17, D-18055, Rostock, Germany

    Rainer Schmidt, Olga Vorobieva & Lothar Gierl

Authors
  1. Rainer Schmidt
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  2. Olga Vorobieva
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  3. Lothar Gierl
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, United Kingdom

    Vasile Palade

  2. Intelligent Systems and Signal Processing Labs, Moulsecoomb, University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, Mawson Lakes, University of South Australia, 5095, Adelaide, SA, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Schmidt, R., Vorobieva, O., Gierl, L. (2003). Adaptation Problems in Therapeutic Case-Based Reasoning Systems. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_132

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_132

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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