Android based Recommender System (ARS) to Detect Breast Abnormalities

Breast tumor is the second leading cause of death among women from the last six decades. The researchers are working intensely on identifying breast tumor symptoms at an early stage. Early detection and exact treatment of tumors will support expanding the lifetime of a patient. Doctors recommend that periodic Breast-Self Examination (BSE) is the preliminary breast cancer screening test. This test will assist the people to detect breast abnormalities at an early stage. But due to a lack of awareness and knowledge on the test procedure of BSE, people are unable to take this self-test periodically. An Android based Recommender System (ARS) to detect breast abnormalities are proposed to serve this gap. ARS is an android based mobile app developed to support all categories of people in breast health monitoring. Through this recommender system, the breast physical symptoms are assessed, and the analysis report helps the user to detect the abnormality at an early stage.