Smart Continuous Glucose Monitoring Prediction with Grid Long Short-Term Memory

Author:

Meng Han1

Affiliation:

1. Beijing University of Post and Telecommunications, China

Publisher

ACM

Reference16 articles.

1. Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction;Rabby Y.;BMC Med. Inf. Decis. Mak.,2021

2. Meal Detection in Patients With Type 1 Diabetes: A New Module for the Multivariable Adaptive Artificial Pancreas Control System

3. Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data

4. De Bois , M. , El Yacoubi , M. A. , and Ammi , M , “ Prediction-coherent lstm-based recurrent neural network for safer glucose predictions in diabetic people ,” in International conference on neural information processing , Springer , 2020 , pp. 510– 521 . De Bois, M., El Yacoubi, M. A., and Ammi, M, “Prediction-coherent lstm-based recurrent neural network for safer glucose predictions in diabetic people,” in International conference on neural information processing, Springer, 2020, pp. 510–521.

5. A Function Approximation Approach to the Prediction of Blood Glucose Levels

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