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Evaluating a Multi-modal Reasoning System in Diabetes Care

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Advances in Case-Based Reasoning (EWCBR 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1898))

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Abstract

In the context of Insulin Dependent Diabetes Mellitus care, we developed a decision support system that relies on a tight integration of Case Based Reasoning and Rule Based Reasoning methodologies. In this paper, we aim at presenting the evaluation strategy we have defined to test the system accuracy, safety and reliability, and the first results obtained both on simulated and on real patients data. Reliability was positively judged by a group of expert diabetologists; an increase in the performances of the system is foreseen as new knowledge will be acquired, through its usage in clinical practice.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica e Sistemistica, Università di Pavia, Pavia, Italy

    Stefania Montani, Riccardo Bellazzi & Mario Stefanelli

  2. Dipartimento di Scienze e Tecnologie Avanzate, Università del Piemonte Orientale “A. Avogadro”, 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. Mario Stefanelli
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Editor information

Editors and Affiliations

  1. Centre for Scientific and Technological Research (ITC-irst), Istituto Trention di Cultura, via Sommarive 18, 38050, Povo (Trento), Italy

    Enrico Blanzieri

  2. DISTA, University of Eastern Piedmont “Amedeo Avogadro”, C.so Borsalino 54, 15100, Alessandria, Italy

    Luigi Portinale

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© 2000 Springer-Verlag Berlin Heidelberg

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Montani, S., Bellazzi, R., Portinale, L., Stefanelli, M. (2000). Evaluating a Multi-modal Reasoning System in Diabetes Care. In: Blanzieri, E., Portinale, L. (eds) Advances in Case-Based Reasoning. EWCBR 2000. Lecture Notes in Computer Science, vol 1898. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44527-7_40

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  • DOI: https://doi.org/10.1007/3-540-44527-7_40

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  • Print ISBN: 978-3-540-67933-2

  • Online ISBN: 978-3-540-44527-2

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