| Abstract |
Diabetes Mellitus type I is a disease that forces patients to manage their blood glucose level manually, by balancing their activities, food intake and insulin dosages. There is a large experience with building computational models for blood glucose level in diabetic patients, which are primarily used to design the medication regime for a specific patient. In this paper, the design of an intelligent support application is presented that uses a standard model for blood glucose level to give patients real-time advice about insulin and food intake. The advice is based on measurements of blood glucose level, the electronic agenda of a patient and model-based predictions of the glucose level in the near future. A simulation of the application is presented that illustrates the feasibility of the system.
|