Development of a DSS for cardiovascular prevention and rehabilitation

It is widely demonstrated that cardiovascular risk is reversible, that the reduction of major risk factors leads to a reduction in events, and that less serious events will occur in the future. One of the best goals in the clinical field is to help reduce the risk of subsequent cardiovascular events, thus improving the quality of life and positively influencing survival through the benefits of physical exercise. The first activity that a patient has to follow consists of a personalized prescription of physical reconditioning sessions by the physician. This activity can be highly individualized, with a correct mental algorithm of overall evaluation, based on manifold clinical, prognostic, metabolic, psychological and of physical ability variables. The Decision Support System (DSS) is a software system that provides support for the strategic decision. The purpose of this work was to plan and develop a DSS able to estimate cardiovascular risk and to optimize the therapeutic processes of physical reconditioning in the field of intensive cardiovascular rehabilitation. In this way it is possible to provide assistance to the above-mentioned decisions, thus helping improve the prescriptive process to be undertaken.