ABSTRACT
The technique of Artificial Neural Networks (ANN’s) is applied to model the risk stratification according to d’Agostino et al. [1]. The performance of the network proves its ability to find non-linear relationships in (medical) data and some important factors in accomplishing an accurate and reliable network are derived. At the end an ANN is designed to investigate the predictive quality of certain well chosen risk factors for secondary prevention. The performance of the resulting network is put in the right perspective and some aspects that need further study are mentioned.
