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Prediction-Coherent LSTM-based Recurrent Neural Network for Safer
  Glucose Predictions in Diabetic People

Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People

8 September 2020
Maxime De Bois
M. El-Yacoubi
M. Ammi
ArXiv (abs)PDFHTML

Papers citing "Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People"

4 / 4 papers shown
Title
Integration of Clinical Criteria into the Training of Deep Models:
  Application to Glucose Prediction for Diabetic People
Integration of Clinical Criteria into the Training of Deep Models: Application to Glucose Prediction for Diabetic People
Maxime De Bois
M. El-Yacoubi
M. Ammi
20
4
0
21 Sep 2020
Interpreting Deep Glucose Predictive Models for Diabetic People Using
  RETAIN
Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN
Maxime De Bois
M. El-Yacoubi
M. Ammi
31
3
0
08 Sep 2020
GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in
  Type-1 Diabetes
GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in Type-1 Diabetes
Maxime De Bois
M. Ammi
M. El-Yacoubi
OOD
52
29
0
29 Jun 2020
Adversarial Multi-Source Transfer Learning in Healthcare: Application to
  Glucose Prediction for Diabetic People
Adversarial Multi-Source Transfer Learning in Healthcare: Application to Glucose Prediction for Diabetic People
Maxime De Bois
M. El-Yacoubi
M. Ammi
OODMedIm
53
36
0
29 Jun 2020
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