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eess.SP2020★ 14 cited
Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People
Maxime De Bois, Mounîm A. El Yacoubi, Mehdi Ammi
In the context of time-series forecasting, we propose a LSTM-based recurrent neural network architecture and loss function that enhance the stability of the predictions. In particu…
eess.SP2020★ 36 cited
GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in Type-1 Diabetes
Maxime De Bois, Mehdi Ammi, Mounîm A. El Yacoubi
Due to the sensitive nature of diabetes-related data, preventing them from being shared between studies, progress in the field of glucose prediction is hard to assess. To address t…