Selection of Noninvasive Features in Wrist-Based Wearable Sensors to Predict Blood Glucose Concentrations Using Machine Learning Algorithms.

In conclusion, for the first time, to our knowledge, this study demonstrates the use of noninvasive sensors implemented in a wrist-based device to predict blood sugar concentrations noninvasively within the healthy range, which may be significant for athletes and military personnel who require continuous monitoring of their blood glucose.

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