Towards a Framework for Breast Cancer Prognosis: Risk Assessment

Abstract

Breast cancer is one of the alarming and lethal type of cancer which causes most of the deaths in women across the world. The research contributions towards early detection of breast cancer, its prognosis and treatment helped to improve situation in terms of decrease in mortality rate. Nevertheless, the problem of breast cancer still attracts attention of researchers and healthcare organizations. Prognosis with comprehensive intelligence can improve the situation of breast cancer treatment further. This is the motivation behind this research work which is aimed at proposing and implementing a framework with three-fold mechanisms to have better prognosis. It includes breast cancer risk assessment models, breast cancer recurrence prediction models and breast cancer survivability prediction models. However, in this paper we present empirical results of breast cancer risk assessment while the other two parts of the prognosis research are deferred to our future research papers. We built a prototype application to demonstrate the performance of different mechanisms employed for breast cancer risk assessment. The empirical results revealed insights of performance of those mechanisms.