When planning a therapy, different competing quality criteria like prospects of treatment success, risk of side effects and costs have to be considered. Thereby, chances and risks must be individually balanced for every patient.
For that purpose the therapy planning is modeled as a multi-criteria optimization problem. Different, best possible compromises - so-called Pareto-optimal solutions - are then calculated. Using a real-time decision support tool the most appropriate treatment for a patient can be interactively selected.