Automatic meal planning using artificial intelligence algorithms in computer aided diabetes therapy

This paper presents the review of the computer aided diabetes therapy introducing GIGISim (Glucose-Insulin and Glycemic Index Web Simulator) e-learning tool based on the glucose and insulin plasma levels simulation models and genetic algorithms optimization. Together with the system, reported solutions assisting diabetes therapy were summarized and their functionality presented. Artificial intelligence is applied in GIGISim tools to improve patients´ management and health awareness. Interactive, diabetes-dedicated simulators, supported with genetic algorithms (GA) have a great deal of educational potential for patients and their families, and may also offer a means of training for health-care professionals. It is generally believed that evolutionary algorithms (EA), which GA are a particular class of, perform consistently well across all types of optimization problems, in this case the optimization of the diabetes meal plan.