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Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting

Zhang, Bowen et al.
arXiv (All) · Papers
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machine-learning
Continuous glucose monitoring (CGM) provides high-frequency measurements of glucose dynamics and enables short-term glucose forecasting for diabetes management. Although time-series foundation models have shown strong general forecasting ability, their effectiveness for CGM prediction and the added
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