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• W2110793574 abstract "We present a multi-modal reasoning (MMR) methodology that integrates case-based reasoning (CBR), rule-based reasoning (RBR) and model-based reasoning (MBR), meant to provide physicians with a reliable decision support tool in the context of type 1 diabetes mellitus management. In particular, we have implemented a decision support system that is able to jointly exploit a probabilistic model of the glucose-insulin system at the steady state, a RBR system for suggestion generation and a CBR system for patient's profiling. The integration of the CBR, RBR and MBR paradigms allows for an optimized exploitation of all the available information, and for the definition of a therapy properly tailored to the patient's needs, overcoming the single approaches limitations. The system has been tested both on simulated and on real patients' data." @default.
• W2110793574 created "2016-06-24" @default.
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• W2110793574 date "2003-09-01" @default.
• W2110793574 modified "2023-09-27" @default.
• W2110793574 title "Integrating model-based decision support in a multi-modal reasoning system for managing type 1 diabetic patients" @default.
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• W2110793574 doi "https://doi.org/10.1016/s0933-3657(03)00045-9" @default.
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