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Influence Diagrams for Neonatal Jaundice Management

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Artificial Intelligence in Medicine (AIMDM 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1620))

Abstract

Influence Diagrams (ID) are widely known to be a useful tool in Decision Analysis (DA). However, when facing a complex real-world problem, we often encounter many difficulties. Namely, the evolution of the ID skeleton until a final version is attained, provides interesting issues related to problem modelling. We also come up against computational difficulties caused by the size of the problem. Our motivation is a real medical problem of neonatal jaundice management, and we present the solution we have implemented in the Decision Support System (DSS) developed.

Paper supported by DGESIC project PB97-0856 and CAM project 07T/0009/1997. We are grateful to doctors M. Sánchez Luna and S. Caballero, the experts in the structuring and elicitation processes.

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Author information

Authors and Affiliations

  1. Decision Analysis Group, Madrid Technical University, 28660, Madrid, Spain

    Concha Bielza, Sixto Ríos-Insua & Manuel Gómez

Authors
  1. Concha Bielza
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  2. Sixto Ríos-Insua
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  3. Manuel Gómez
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Editor information

Editors and Affiliations

  1. Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010, Vienna, Austria

    Werner Horn

  2. Department of Medicine and Computer Science, Stanford University, 251 Campus Drive, Stanford, CA, 94305-5479, USA

    Yuval Shahar

  3. Department of Medicine Karolinska Institutet, Huddinge University Hospital, Sweden

    Greger Lindberg

  4. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajers Vej 7D, DK-9000, Aalborg, Denmark

    Steen Andreassen

  5. School of Public Policy, University College London, 29/30 Tavistock Square, London, WC1H 9EZ, UK

    Jeremy Wyatt

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© 1999 Springer-Verlag Berlin Heidelberg

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Bielza, C., Ríos-Insua, S., Gómez, M. (1999). Influence Diagrams for Neonatal Jaundice Management. In: Horn, W., Shahar, Y., Lindberg, G., Andreassen, S., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIMDM 1999. Lecture Notes in Computer Science(), vol 1620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48720-4_13

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  • DOI: https://doi.org/10.1007/3-540-48720-4_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66162-7

  • Online ISBN: 978-3-540-48720-3

  • eBook Packages: Springer Book Archive

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