Prediction of Near-term Breast Cancer Risk Based on Bilateral Mammographic Feature Asymmetry

This study demonstrates that the risk scores computed by a new support vector machine model involving bilateral mammographic feature asymmetry have potential to assist the prediction of near-term risk of women for developing breast cancer.