Contributions of modelling systems in cardiovascular diseases prevention.

Abstract

The computerized modelling systems represent an intelligent predictive way for the individual’s state of health, through the assessment of the effects of the particular risk factors needed in the development of a model used in the prevention of cardiac diseases. The main purpose was to perform correlations between the socio-economic and clinical factors in order to observe food impact on cardiovascular diseases and to obtain a modelling system that would prevent cardiac diseases. In order to develop on-line applications to calculate the cardiac risk score, modern technologies have been developed and applied which allow - through Web instruments - access to the available information: anytime, anywhere secured and differentiated according to the category of users. Furthermore, the risk calculation is adjusted according to some variables taken into account - the social, economic and health parameters. The computerized system uses the forms to extract certain features and to enable health prediction. The originality of the application consists in the development of a new variable, namely the health clinical factors, which contribute to accurately calculate the risk factor, differently from other calculating systems which rely only on the health indices. The system that prevents cardiac diseases is constructed as a reliable predictive model with the purpose of achieving a rapid screening in order to reduce the morbidity and mortality due to cardiovascular diseases.