DiaGame: Serious and personalized game for self-management of diabetes

Diabetes is a well-known serious condition which its severity can be considerably reduced by a well-educated lifestyle. Learning how to adjust a patient’s daily behavior taking into account diet, exercise, or stress has a major part on diabetes education.
When applied to healthcare, patient data can bring a step towards individualized patient treatments, as – through Artificial Intelligence (AI)/Machine Learning (ML) techniques – it can unfold a complex medical condition by considering not only biomedical, but lifestyle data. In DiaGame, the goal is to create a personalized layer over an educational digital game for diabetes patients, to make patients self-aware of their condition through a more familiar (customized) scenario based on their own data. Understanding, representing, and improving patients' knowledge through a data-driven approach is a step in the direction of a better disease management, and the game here acts as a tool supporting this objective.
The project integrates: e-DES: The Eindhoven Diabetes Education Simulator, SugarVita, a game based on the former model, and GameBus, a data-integration application - developed at Eindhoven University of Technology (TU/e) - able to encourage the data gathering process involving patients. In-sync with patients data, the aforementioned tools will be tied to AI/ML techniques in order to generate a data-driven solution able to represent diabetic patients (concerning his/her condition and routine/reality) in a personalized educational game.