Publications
Filters: Author is C. Cobelli [Clear All Filters]
Reduced sampling schedule for the glucose minimal model: importance of Bayesian estimation. Am. J. Physiol. Endocrinol. Metab.. 2006;290:177-84.
Insulin minimal model indexes and secretion: proper handling of uncertainty by a Bayesian approach. Annals of Biomedical Engineering. 2004;32(7):1027-37.
Analisi di dati di DNA microarray: fondamenti, selezione di geni, classificazione. In: Cerutti S, Marchesi C, editors.; 2004.
Design, methods and evaluation directions of a multi-access service for the management of diabetes mellitus patients. Diabetes Technol Ther.. 2003;5:621-9.
Minimal model SI=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals. Am. J. Physiol. Endocrinol. Metab.. 2002;282:564-73.
A telemedicine support for diabetes management: the T-IDDM project. Comput Methods Programs Biomed.. 2002;69.
The subcutaneous route: closed-loop and partially closed-loop strategies in Insulin Dependent Diabetes Mellitus. IEEE Engineering in Medicine and Biology Magazine. 2001;20.
Multi-Access Services for Diabetes Mellitus management: the M2DM project. International Symposium on Information Technology and Diabetes. 2000.
Reports on the results of the EU funded project T-IDDM. International Symposium on Information Technology and Diabetes. 2000.
Bayesian identification of a population conpartmental model of C-peptide kinetics. Annals of Biomedical Engineering. 2000;28:812-23.
Multi-Access Services for Diabetes Mellitus management: the M2DM project. Diabetes, Nutrition & Metabolism. 2000;13.
T-IDDM: reports on the results of a EU funded project. Diabetes, Nutrition & Metabolism. 2000;13.

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