Among women worldwide, breast cancer is one of the most common cancers results from the growth of cancerous cells. This work investigates 87 patients using polarimetry in the visible spectral range (400-800 nm). Polarimetry is used for tissue characterization, particularly to prognosis cancer and biochemical quantification. Nine derived polarization properties were compared for both malignant and benign breast tissue. All nine polarimetric properties have high values for Grade III as compared to grade II and fibroadenoma. Benign tumours have higher anisotropy than malignant tumors. Ellipticity and orientation exhibit an inverse tendency. Hematology shows that moringa significantly improves the blood components of breast cancer. Pearson & Spearman correlation analysis was used with level of significance p <
0.05 where' p' is probability that the observed effect within the study would have occurred by chance. All parameters and components show significance level expect Leukocytes, Urea, Creatinine, SGOT and Bilirubin Total. Model training is a difficult procedure that determines the quality of application upon which it is deployed. Our data produces the accuracy 82.8%, with 1360 observations and 38 predictors. Thus a framework for breast cancer prognosis is provided by the combination of polarisation analysis, math and classification techniques.