Learning Insulin-Glucose Dynamics in the Wild

Andrew C. Miller
Andrew C. Miller

MLHC, pp. 172-197, 2020.

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Abstract:

We develop a new model of insulin-glucose dynamics for forecasting blood glucose in type 1 diabetics. We augment an existing biomedical model by introducing time-varying dynamics driven by a machine learning sequence model. Our model maintains a physiologically plausible inductive bias and clinically interpretable parameters -- e.g., in...More

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