Smart Breast Cancer Prediction Using Data Mining Process

In terms of mortality, breast cancer occupies the 5th place in the world. According to the World Health organization (WHO), breast cancer is the principal cause of cancer death in the last years, especially among women. Following this very alarming finding, research was developed using predictive approaches based on the analysis of a large volume of data. In the literature, data analysis was carried out through data mining using several techniques, especially metaheuristics, to aid in the preventive or predictive decision of breast cancer. In this paper, a recent metaheuristic called Symbiotic Organisms Search (SOS) based on a bio-inspired phenomenon is combined with an Artificial Neural Network (ANN), will be utilized in datamining for a predictive study of breast cancer disease. This paper contains also an intelligent application using the SOS algorithm. The experiments generated very confident results in terms of predictive decision following the classification of data.