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Breast cancer is the women's common diseases in the world. How to improving the early diagnosis of breast cancer is very important. At present, many methods are used in diagnosis of the breast cancer, for example, ultrasonography and CT. They have some advantage, but they also have some disadvantages. Mammography is the most effective method for breast cancer screening available today. In this paper, a computer aid diagnosis model is proposed basing on Bayesian Classification model because of its effective, good efficiency. At last, we find this system has more effective on diagnosis by mammography through experiment.