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Finding and Explaining Optimal Treatments

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Artificial Intelligence in Medicine (AIME 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2780))

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Abstract

Influence diagrams are modern decision-theoretic representations that can be used to model medical decision-making problems. The output of evaluating an influence diagram are decision tables with optimal decision alternatives. For real-life clinical problems the resulting tables can be really big, so that understanding what they say is nearly impossible. KBM2L lists are new list-based structures suitable for minimising memory storage space of these tables, and at the same time searching for a better knowledge organisation. In this paper, we study the application of KBM2L lists for finding the optimal treatments for gastric non-Hodgkin lymphoma.

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References

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Author information

Authors and Affiliations

  1. Decision Analysis Group, Technical University of Madrid, Campus de Montegancedo, Boadilla del Monte, 28660, Madrid, Spain

    Concha Bielza & Juan A. Fernández del Pozo

  2. Institute for Computing and Information Sciences, University of Nijmegen, Toernooiveld 1, 6525 ED, Nijmegen, The Netherlands

    Peter Lucas

Authors
  1. Concha Bielza
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  2. Juan A. Fernández del Pozo
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  3. Peter Lucas
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Editor information

Editors and Affiliations

  1. INSERM U836-UJF-CEA-CHU (Grenoble Institute of Neuroscience),  

    Michel Dojat

  2. Department of Computer Science, University of Cyprus, P.O.Box 20537, CY-1678, Nicosia, Cyprus

    Elpida T. Keravnou

  3. Centro de Inteligência Artificial, Departamento de Informática, Universidade Nova de Lisboa, 2829-516, Caparica, Portugal

    Pedro Barahona

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© 2003 Springer-Verlag Berlin Heidelberg

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Bielza, C., del Pozo, J.A.F., Lucas, P. (2003). Finding and Explaining Optimal Treatments. In: Dojat, M., Keravnou, E.T., Barahona, P. (eds) Artificial Intelligence in Medicine. AIME 2003. Lecture Notes in Computer Science(), vol 2780. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39907-0_41

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  • DOI: https://doi.org/10.1007/978-3-540-39907-0_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20129-8

  • Online ISBN: 978-3-540-39907-0

  • eBook Packages: Springer Book Archive

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