Predictive Data Analytics for Breast Cancer Prognosis

The leading healthcare explosion in datasets has created furious interest among the researchers and scientists to determine automated technology for clinical future implications. Hence, data mining in the past decade has resolved and discovered hidden information and knowledge from large-scale databases. Data mining tends to be widely anticipated technology which is utilized in varied application domain for retrieval of patterns for future decision-making. In the past several research studies are based on the prevalence and prognosis of breast cancer in females, but our proposed discuss the interception of disease for both the genders. Hence, we integrate the cancer data with predictive data analytics to determine the incidence and mortality rate of breast cancer both in males and females from the year 1990 to 2014.