Abstract: Objective In order to improve the diagnostic accuracy of breast cancer, to develop the Logistic regression model to forecast the mammary benign and malignant tumor by comprehensive analysis of ultrasound, X-ray mammography and clinical characteristics.Methods The clinical data of female patients with breast diseases who received hospital treatment in peoples hospital in Zengcheng district from May, 2015 to May, 2017 were collected. There were 138 breast cancer patients. The average age of them was (48.89 ± 9.11) years old. There were 68 mammary gland benign tumour patients. The average age of them was (49.29 ± 9.63) years old. The benign and malignant pathology results were regards as the variable of hospital treatment, and the ultrasound, X-ray mammography and clinical characteristics were regards as the independent variable to develop the Logistic regression model to forecast the mammary benign and malignant tumor.Results The lesions texture, tumor infiltration or burr, and calcification showed by X-ray mammography, shape of tumor, xillary lymph node enlargement, blood flow signals and blood flow grading showed by ultrasound were entered in Logistic regression model. The forecasting accuracy of the regression model was 92.58% (212/229). The area under ROC curve was (0.906 ± 0.018).Conclusion The variables of ultrasound, X-ray mammography and clinical characteristics filtered by the Logistic regression model have accurate prediction effects.