| abstract |
Method for predicting glycemia of a patient including the steps of: Retrieving a data set (2) of dated glycemia measured up to the time t on the patient; Retrieving a quantity of insulin (5) injected in the patient; Retrieving a quantity of glucose (6) ingested by the patient; Generating, by a pharmacokinetic pre-processing device (20), an insulin blood concentration signal (21) and a carbs rate of appearance signal (22), from the glycemia data set (2), the quantities of injected insulin (5) and ingested glucose (6), Predicting by at least one Neural Network at least one glycemia (41) at prediction time t+Δΐ from the glycemia data (2) and from the signals generated (21) (22), the neural network being a Recurrent Neural Network able to keep in memory at each iteration information from any previous iteration. |