The research has successfully picked out various risk factors like Socio-Economic, Demographic and Clinical for breast cancer. It divulges that patient age, tumour size, node size, and blood sugar levels have a negative impact on cancer patient survival times. Specifically, as these factors increase, survival times decrease. Additionally, the study addresses the crucial issue of selecting an appropriate survival model. It determines that the Weibull survival model is the most suitable, as it shows lower AIC values compared to other models for breast cancer. The findings suggest that the estimated survival times from this model are reliable, enabling predictions of breast cancer patient’s survival times based on available data.