Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting

ArXi:2411.10703v3 Announce Type: replace The availability of continuous glucose monitors as over-the-counter commodities have created a unique opportunity to monitor a person's blood glucose levels, forecast blood glucose trajectories and provide automated interventions to prevent devastating chronic complications that arise from poor glucose control. However, forecasting blood glucose levels is challenging because blood glucose changes consistently in response to food intake, medication intake, physical activity, sleep, and stress.