Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy
Hua Chen,
Kehui Mei,
Yuan Zhou
et al.
Abstract:Breast cancer has replaced lung cancer as the number one cancer among women worldwide. In this paper, we take breast cancer as the research object, and pioneer a hybrid strategy to process the data, and combine the machine learning method to build a more accurate and efficient breast cancer auxiliary diagnosis model. First, the combined sampling method SMOTE-ENN is used to solve the problem of sample imbalance, and the data are standardized to make the data have better separability. Then, the features of the d… Show more
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