Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data

Continuous Glucose Monitoring (CGM) has enabled important opportunities for diabetes management. This study explores the use of CGM data as input for digital decision support tools. We investigate how Recurrent Neural Networks (RNNs) can be used for Short Term Blood Glucose (STBG) prediction and com...

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Veröffentlicht in:	arXiv.org 2020-07
Hauptverfasser:	Mohebbi, Ali, Johansen, Alexander R, Hansen, Nicklas, Christensen, Peter E, Tarp, Jens M, Jensen, Morten L, Bengtsson, Henrik, Mørup, Morten
Format:	Artikel
Sprache:	eng
Schlagworte:	Autoregressive models Blood Diabetes Glucose Monitoring Predictions Recurrent neural networks
Online-Zugang:	Volltext
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