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.
CITATION STYLE
Montani, S., Bellazzi, R., Portinale, L., Riva, A., & Stefanelli, M. (1999). Multi-modal reasoning in diabetic patient management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1620, pp. 113–123). Springer Verlag. https://doi.org/10.1007/3-540-48720-4_10
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