Heart failure is a growing throughout pathology in Europe. It is a public health issue and an economic issue. The management to be effective needs to be early but specific. Generic treatment (medication, rehabilitation, hygienic dietary measures) known for over 15 years and has demonstrated its effectiveness, come s'ajouter solutions specific, technically complex and expensive to implement. Because of the potential risk to the patient and their cost to the company, these new techniques need to be adapted to each case. The passage of a generic simple treatment for everyone in the single treatment tailored to each patient requires decision support tools for the clinician. These tools or decision trees are developed using mathematical and statistical models fed by all patient data (imaging, biology physiology ...) before and after implementation of treatment. Predictive response models of a treatment applied to a particular pathology can thus be generated.