 However, these algorithms are associated with several limitations, including misclassification of women and individuals with high levels of a single risk factor. The risk is underestimated in these individuals. Therefore, these individuals are not eligible for treatment by current criteria of CVD prevention guidelines. Several studies indicate that the traditional risk score models leave room for improvement, as they work reasonably well for populations, but remain suboptimal for individual subjects. 