Open access
Aug 2026
Machine learning-based model to predict liposuction outcomes in unilateral breast cancer-related lymphedema
Although not possessing the highest AUC, the SVM demonstrated exceptional resistance to overfitting, evidenced by a minimal AUC decrement of merely 0.0298 from the training to the validation set, underscoring its tangible clinical utility.
Shuai Pang, Hao Dong, Zhetan Ren et al.
· Frontiers in Oncology · 0 citations