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Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors

Department of Information Engineering, University of Padova, 35131 Padova, Italy
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Sensors 2020, 20(14), 3870; https://doi.org/10.3390/s20143870
Received: 3 June 2020 / Revised: 7 July 2020 / Accepted: 7 July 2020 / Published: 10 July 2020
(This article belongs to the Special Issue Artificial Intelligence in Medical Sensors)
Wearable continuous glucose monitoring (CGM) sensors are revolutionizing the treatment of type 1 diabetes (T1D). These sensors provide in real-time, every 1–5 min, the current blood glucose concentration and its rate-of-change, two key pieces of information for improving the determination of exogenous insulin administration and the prediction of forthcoming adverse events, such as hypo-/hyper-glycemia. The current research in diabetes technology is putting considerable effort into developing decision support systems for patient use, which automatically analyze the patient’s data collected by CGM sensors and other portable devices, as well as providing personalized recommendations about therapy adjustments to patients. Due to the large amount of data collected by patients with T1D and their variety, artificial intelligence (AI) techniques are increasingly being adopted in these decision support systems. In this paper, we review the state-of-the-art methodologies using AI and CGM sensors for decision support in advanced T1D management, including techniques for personalized insulin bolus calculation, adaptive tuning of bolus calculator parameters and glucose prediction. View Full-Text
Keywords: continuous glucose monitoring sensor; artificial intelligence; decision support system; prediction; optimization; personalized therapy; diabetes continuous glucose monitoring sensor; artificial intelligence; decision support system; prediction; optimization; personalized therapy; diabetes
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Vettoretti, M.; Cappon, G.; Facchinetti, A.; Sparacino, G. Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors. Sensors 2020, 20, 3870.

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