Interstitial glucose prediction accuracy

Biomarker1 paper1 finding

  • Humans1

Associations

1

Wearable sensors and machine learning

upin humans1

1 study
  1. wearable sensors and machine learning predicts interstitial glucose prediction accuracy in humans (RMSE 21.04 mg/dL, 98.3% in zones A and B).

    Humansreal-world environments2 weeksn = 74

    Noninvasive Interstitial Glucose Estimation Using Wearables and Machine Learning in Healthy Individuals and Individuals With Obesity: Observational Cohort Study · JMIR mHealth and uHealth · 30 Sep 2026

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