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Convolutional Recurrent Neural Networks for Glucose Prediction
2019
IEEE journal of biomedical and health informatics
Control of blood glucose is essential for diabetes management. Current digital therapeutic approaches for subjects with type 1 diabetes mellitus such as the artificial pancreas and insulin bolus calculators leverage machine learning techniques for predicting subcutaneous glucose for improved control. Deep learning has recently been applied in healthcare and medical research to achieve state-of-the-art results in a range of tasks including disease diagnosis, and patient state prediction among
doi:10.1109/jbhi.2019.2908488
pmid:30946685
fatcat:ns5m543j2zbs3g2yeskcc5sebm