Abstract
Looking for a risk assessment model is of great significance for predicting, preventing and diagnosing breast cancer. This paper collects relevant data from SEER database(Survey, Epidemiology, and End Results), uses SVM (Support Vector Machine) and random forest in data mining to predict the possibility of breast cancer, and discusses the application value of Gail breast cancer risk assessment model. Finally, the prediction results based on three risk assessment models are analyzed. The analysis results show that the prediction accuracy rate of Gail model is more excellent.
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