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Multi-modal Reasoning in Diabetic Patient 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

We present a decision support tool for Insulin Dependent Diabetes Mellitus management, that relies on the integration of two different methodologies: Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR). This multi-modal reasoning system aims at providing physicians with a suitable solution to the problem of therapy planning by exploiting the strengths of the two selected methods. RBR provides suggestions on the basis of a situation detection mechanism that relies on structured prior knowledge; CBR is used to specialize and dynamically adapt the rules on the basis of the patient's characteristics and of the accumulated experience. Such work will be integrated in the EU funded project T-IDDM architecture, and has been preliminary tested on a set of cases generated by a diabetic patient simulator.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica e Sistemistica, Università di Pavia, via Ferrata 1, I-27100, Pavia, Italy

    Stefania Montani, Riccardo Bellazzi, Alberto Riva & Mario Stefanelli

  2. Dipartimento di Scienze e Tecnologie Avanzate, Università del Piemonte Orientale, Alessandria, Italy

    Luigi Portinale

Authors
  1. Stefania Montani
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  2. Riccardo Bellazzi
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  3. Luigi Portinale
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  4. Alberto Riva
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  5. Mario Stefanelli
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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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Montani, S., Bellazzi, R., Portinale, L., Riva, A., Stefanelli, M. (1999). Multi-modal Reasoning in Diabetic Patient 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_10

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  • DOI: https://doi.org/10.1007/3-540-48720-4_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66162-7

  • Online ISBN: 978-3-540-48720-3

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