AFTS: A patient-agnostic encoder-decoder architecture with directional attention for blood glucose forecasting
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Accurate blood glucose forecasting remains challenging due to inter-patient heterogeneity and complex glycemic dynamics. We present AFTS (Adaptive Feature Time Series), a patient-agnostic deep learning architecture combining a bidirectional LSTM encoder-decode... ...
