The determination of blood glucose levels is vital in the diagnosis and management of diabetes. Although individuals with diabetes have a great number of historical glucose measurements, there have been few data sets that have been recorded continuously or sampled frequently enough to reveal intrinsic blood glucose dynamics, or the change in blood glucose with time. There is even less data from people who do not have diabetes that could be utilized as a therapeutic target. As a result, blood sugar dynamics were rarely used in the diagnosis and treatment of diabetes. Although current blood sugar monitoring is primarily based on discrete measurements, future monitoring will most likely be centered on the study of blood glucose excursions.
Data driven modelling
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