Vettoretti M - Search Results

1

Accuracy of devices for self-monitoring of blood glucose: A stochastic error model.

Vettoretti M, Facchinetti A, Sparacino G, Cobelli C. Vettoretti M, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:2359-62. doi: 10.1109/EMBC.2015.7318867. Annu Int Conf IEEE Eng Med Biol Soc. 2015. PMID: 26736767

2

Online Calibration of Glucose Sensors From the Measured Current by a Time-Varying Calibration Function and Bayesian Priors.

Vettoretti M, Facchinetti A, Del Favero S, Sparacino G, Cobelli C. Vettoretti M, et al. IEEE Trans Biomed Eng. 2016 Aug;63(8):1631-41. doi: 10.1109/TBME.2015.2426217. Epub 2015 Apr 24. IEEE Trans Biomed Eng. 2016. PMID: 25915955

3

Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment.

Vettoretti M, Facchinetti A, Sparacino G, Cobelli C. Vettoretti M, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:2363-6. doi: 10.1109/EMBC.2015.7318868. Annu Int Conf IEEE Eng Med Biol Soc. 2015. PMID: 26736768

4

From Two to One Per Day Calibration of Dexcom G4 Platinum by a Time-Varying Day-Specific Bayesian Prior.

Acciaroli G, Vettoretti M, Facchinetti A, Sparacino G, Cobelli C. Acciaroli G, et al. Among authors: vettoretti m. Diabetes Technol Ther. 2016 Aug;18(8):472-9. doi: 10.1089/dia.2016.0088. Diabetes Technol Ther. 2016. PMID: 27512826

5

Predicting Insulin Treatment Scenarios with the Net Effect Method: Domain of Validity.

Vettoretti M, Facchinetti A, Sparacino G, Cobelli C. Vettoretti M, et al. Diabetes Technol Ther. 2016 Nov;18(11):694-704. doi: 10.1089/dia.2016.0148. Diabetes Technol Ther. 2016. PMID: 27860496

6

A Model of Self-Monitoring Blood Glucose Measurement Error.

Vettoretti M, Facchinetti A, Sparacino G, Cobelli C. Vettoretti M, et al. J Diabetes Sci Technol. 2017 Jul;11(4):724-735. doi: 10.1177/1932296817698498. Epub 2017 Mar 16. J Diabetes Sci Technol. 2017. PMID: 28299958 Free PMC article.

7

Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework.

Acciaroli G, Vettoretti M, Facchinetti A, Sparacino G, Cobelli C. Acciaroli G, et al. Among authors: vettoretti m. IEEE Trans Biomed Eng. 2018 Mar;65(3):587-595. doi: 10.1109/TBME.2017.2706974. Epub 2017 May 23. IEEE Trans Biomed Eng. 2018. PMID: 28541194

8

Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments.

Vettoretti M, Facchinetti A, Sparacino G, Cobelli C. Vettoretti M, et al. IEEE Trans Biomed Eng. 2018 Jun;65(6):1281-1290. doi: 10.1109/TBME.2017.2746340. Epub 2017 Aug 29. IEEE Trans Biomed Eng. 2018. PMID: 28866479

9

Toward Calibration-Free Continuous Glucose Monitoring Sensors: Bayesian Calibration Approach Applied to Next-Generation Dexcom Technology.

Acciaroli G, Vettoretti M, Facchinetti A, Sparacino G. Acciaroli G, et al. Among authors: vettoretti m. Diabetes Technol Ther. 2018 Jan;20(1):59-67. doi: 10.1089/dia.2017.0297. Epub 2017 Dec 21. Diabetes Technol Ther. 2018. PMID: 29265916

10

The UVA/Padova Type 1 Diabetes Simulator Goes From Single Meal to Single Day.

Visentin R, Campos-Náñez E, Schiavon M, Lv D, Vettoretti M, Breton M, Kovatchev BP, Dalla Man C, Cobelli C. Visentin R, et al. Among authors: vettoretti m. J Diabetes Sci Technol. 2018 Mar;12(2):273-281. doi: 10.1177/1932296818757747. Epub 2018 Feb 16. J Diabetes Sci Technol. 2018. PMID: 29451021 Free PMC article.

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