In this paper we propose a neural network identification of a mathematical model called MINMOD, which describes the interactions between glucose and insulin in human subjects, in order to realize an adequate model for patients suffering from {\it Diabetes Mellitus} Type 2. The model has been tested on the basis of clinical data and it can correctly reproduce glucose and insulin reply and temporal evolution, according to experimental data test. Using neural networks, we can predict the glucose temporal evolution without invasive technique for patients, with the aim to determine the clinical effects to be made in case of pathological behaviors.

Neural network in modeling glucose-insulin behavior / Panella, Massimo; Barcellona, Francesco; Bersani, Alberto Maria. - STAMPA. - (2005), pp. 367-374. ((Intervento presentato al convegno 15th Italian Workshop on Neural Nets (WIRN VETRI 2004) tenutosi a Perugia, ITALY nel SEP 14-17, 2004. [10.1007/1-4020-3432-6_43].

Neural network in modeling glucose-insulin behavior

PANELLA, Massimo;BARCELLONA, FRANCESCO;BERSANI, Alberto Maria
2005

Abstract

In this paper we propose a neural network identification of a mathematical model called MINMOD, which describes the interactions between glucose and insulin in human subjects, in order to realize an adequate model for patients suffering from {\it Diabetes Mellitus} Type 2. The model has been tested on the basis of clinical data and it can correctly reproduce glucose and insulin reply and temporal evolution, according to experimental data test. Using neural networks, we can predict the glucose temporal evolution without invasive technique for patients, with the aim to determine the clinical effects to be made in case of pathological behaviors.
2005
Biological and Artificial Intelligence Environments
9781402034312
diabetes analysis; glucose-insulin interaction; minmod model; mog neural network
02 Pubblicazione su volume::02a Capitolo o Articolo
Neural network in modeling glucose-insulin behavior / Panella, Massimo; Barcellona, Francesco; Bersani, Alberto Maria. - STAMPA. - (2005), pp. 367-374. ((Intervento presentato al convegno 15th Italian Workshop on Neural Nets (WIRN VETRI 2004) tenutosi a Perugia, ITALY nel SEP 14-17, 2004. [10.1007/1-4020-3432-6_43].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/150457
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