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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

29 June 2020
Maxime De Bois
M. Ammi
M. El-Yacoubi
    OOD
ArXiv (abs)PDFHTML

Papers citing "GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in Type-1 Diabetes"

3 / 3 papers shown
Title
Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM Patients
Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM Patients
Ana Esponera
Giovanni Cinnà
BDLCML
88
0
0
18 Mar 2025
FedGlu: A personalized federated learning-based glucose forecasting
  algorithm for improved performance in glycemic excursion regions
FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions
Darpit Dave
Kathan Vyas
Jagadish K. Jayagopal
Alfredo Garcia
M. Erraguntla
Mark Lawley
FedML
60
2
0
25 Aug 2024
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
13
4
0
21 Sep 2020
1