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GlyRAG: Context-Aware Retrieval-Augmented Framework for Blood Glucose Forecasting
Accurate blood glucose forecasting using continuous glucose monitoring (CGM) data can support the early prediction of dysglycemic risk. However, current neural-network-based forecasting models treat CGM data as a purely numerical sequence without integrating the contextual information contained in C
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