Microwave Breast Cancer Screening for Women Welfare Hamsagayathri P1, Sampath P2 1Research Scholar, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Erode 2Professor, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Erode Online published on 15 December, 2017. Abstract In the battle of female cancers, breast cancer is one of the most common invasive cancers among the women worldwide. In India, Breast cancer incidence is growing at higher rate. Breast cancer has become major health problem and emerging as major cause for suffering of women across the country. According to Cancer Society, 230, 000 female breast cancers and 2, 300 male breast cancers are reported every year and also about 40, 440 deaths are occurred. There are around 3.1 million breast cancer survivors in India. Though there is increase in breast cancer year by year, there is no concrete reason to develop breast cancers but there are risk factors which stimuli cancerous in women. Some of the risk factors include such as heredity, increase life expectancy, life style, food habits, Hormone therapy, alcohol/tobacco consumption and so on. Risk factors can be reduced by raising health awareness through media campaigns, self help groups. However, if breast cancer does occur, effective early detection of breast cancer is required to save life. There exist many screening techniques for breast cancer detection. However, they have negative and side effects and especially it is not preferred for young women because of ionized radiation. An attractive alternative of using Microwaves to detect breast tumours is a non-ionizing and indeed potentially low-cost. Flexible Microstrip antenna along with signal processing and classification can be used for cancer diagnosis. This paper analyzes the machine learning classifier algorithms for seer breast cancer dataset using WEKA software. Top Keywords Classification, J48, Accuracy, RMSE, Confusion Matrix. Top |