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Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction
Prediction models are trained for each cluster for the two-hour windows after meals, allowing predictions in 15-minute steps, yielding up to eight predictions at different time horizons.
Identifying Differential Equations to predict Blood Glucose using Sparse Identification of Nonlinear Systems
Describing dynamic medical systems using machine learning is a challenging topic with a wide range of applications.
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