Reducing the Range of Cancer Risk on BI-RADS 4 Subcategories via Mathematical Modelling

Breast Imaging Reporting and Data System, also known as BI-RADS is a universal system used by radiologists doctors. It constructs comprehensive language for the diagnosis of breast cancer. 4 category has wide range cancer risk since it divided into 3 categories. Mathematical models play an important role in treatment In this study, data 42 patients taken from Center Health, Near East University Hospital utilized. Regarding analysis, mathematical model constructed dividing population compartments. Sensitivity analysis applied to parameters with desired outcome reduced risk. Numerical simulations are demonstrated. The results have revealed that increase lactation rate early menopause negative correlation chance being diagnosed whereas positive age, palpable mass, family history distinctive. Furthermore, effects smoking late on 4C vehemently outlined. Consequently, showed percentages subcategories. All things considered, assistance most effective parameters, risks subcategories will decrease.