58 citations · 104 across the 8 of their papers we have counts for
3 papers · 1 filter
Integration of Clinical Criteria into the Training of Deep Models: Application to Glucose Prediction for Diabetic People
Maxime De Bois, Mounîm A. El Yacoubi, Mehdi Ammi
Standard objective functions used during the training of neural-network-based predictive models do not consider clinical criteria, leading to models that are not necessarily clinic…
Model Fusion to Enhance the Clinical Acceptability of Long-Term Glucose Predictions
Maxime De Bois, Mounîm A. El Yacoubi, Mehdi Ammi
This paper presents the Derivatives Combination Predictor (DCP), a novel model fusion algorithm for making long-term glucose predictions for diabetic people. First, using the histo…
Study of Short-Term Personalized Glucose Predictive Models on Type-1 Diabetic Children
Maxime De Bois, Mounîm A. El Yacoubi, Mehdi Ammi
Research in diabetes, especially when it comes to building data-driven models to forecast future glucose values, is hindered by the sensitive nature of the data. Because researcher…