Abstract: Objective To evaluate the application of a Lasso Logistic model for potential factors related with breast cancer screening among female at high risk of developing breast cancer. Methods A health risk appraisal model was used to measure women's objective risk of developing breast cancer. Lasso Logistic model was used to analyze the predictors of breast cancer screening utilization. Cross validation method was used to choose λ for Lasso Logistic model. In addition, the akaike information criterion (AIC) and bayesian information criterion (BIC) were chosen to evaluate the model fitting of Lasso Logistic model, compared with full Logistic model. Results Of the 771 women at high risk of developing breast cancer, 72.1% attended screening. The cross validation resulted in λ=0.044 for Lasso Logistic model. Age, education level, personal history of breast disease and breast self-examination were associated with breast cancer screening utilization in Lasso Logistic model and full Logistic model. AIC of Lasso Logistic model and full Logistic model were 762.44 and 762.73, respectively. And BIC were 785.68 and 804.55, respectively. Conclusions Lasso Logistic model was a sound fitting model for predictors of breast cancer screening utilization among women at high risk of developing breast cancer. Age, education level, personal history of breast disease and breast self-examination were predictors of breast cancer screening utilization.