Evaluating a Multi-modal Reasoning System in
Diabetes Care

Stefania Montani1, Riccardo Bellazzi1, Luigi Portinale2, and Mario Stefanelli1

1 Dipartimento di Informatica e Sistemistica
Universit di Pavia, Pavia (Italy)
2 Dipartimento di Scienze e Tecnologie Avanzate,
Universit del Piemonte Orientale A. Avogadro, Alessandria, (Italy)



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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