Výsledky vyhledávání - "Cobelli, and C."

CGM-based glycemic variability indices allow accurate classification of IGT and T2D subjects

Autor: Longato, E., Acciaroli, G., Facchinetti, A., Maran, A., Sparacino, G., Hakaste, L., Tuomi, T., Cobelli, and C.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3657::631d35ff64e8c537309d26dbdeefbce7
http://hdl.handle.net/11577/3271323

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Good accuracy of CGM-based glucose variability indices for IGT and T2D classification

Autor: Acciaroli, G., Palombit, A., Di Nunzio, G. M., Facchinetti, A., Sparacino, G., Hakaste, L., Tuomi, T., Gabriel, R., Cobelli, and C.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3657::f2dfe9b055ba3a3134ad24b917cbc1ff
http://hdl.handle.net/11577/3271321

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Reduced calibrations and maintained accuracy on next generation CGM compared to Dexcom G5: results using a Bayesian approach

Autor: Acciaroli, G., Vettoretti, M., Facchinetti, A., Sparacino, G., Cobelli, and C.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3657::26899cdd0b42e610ac0d36d3ed34f6b4
http://hdl.handle.net/11577/3271320

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Glucose sensors for diabetes management: no need of 24h warm-up time by the use of Bayes estimation

Autor: Acciaroli, G., Vettoretti, M., Facchinetti, A., Sparacino, G., Cobelli, and C.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3657::01cdd377f06cc82969425233e0eadf83
http://hdl.handle.net/11577/3271317

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