Data Mining Techniques For Diagnosis And Prog- nosis Of Breast Cancer

Abstract − Cancer is the most important cause of death for both men and women. The early detection of cancer can be helpful in curing the disease completely. So the requirement of techniques for the detection of cancer in early stage is increas-ing. Breast cancer is one of the leading cancers for women in developed countries including India. It is the second most common cause of cancer death in women. The high incidence of breast cancer in women has increased significantly in the last years. The malignant tumour develops when cells in the breast tissue divide and grow without the normal controls on cell death and cell division. Hence, cancer on breast tissue is called breast cancer. Worldwide, it is the most common form of cancer in females that is affecting approximately 10 % of all women at some stage of their life. With early diagnosis, 97% of women survive for 5 years or more years. In this paper we present a system for diagnosis and prognosis of cancer using FP (frequent pattern mining) growth algorithm. We are also using Decision Tree algorithm to predict the possibility of cancer in context to age. We are using FP algorithm to con-clude whether the tumour is malignant or benign tumour