| SHAP | SHapley Additive exPlanation |
| ML | machine learning |
| cMRI | conventional MRI |
| AUC | area under the curve |
| HER2 | human epidermal growth factor receptor 2 |
| IHC | immunohistochemistry |
| FISH | fluorescence in situ hybridization |
| CNB | core needle biopsy |
| MRI | magnetic resonance imaging |
| ER | estrogen receptor |
| PR | progesterone receptor |
| T1WI | T1-weighted images |
| T2WI | T2-weighted images |
| DCE | dynamic contrast-enhanced |
| FGT | fibroglandular tissue |
| BPE | background parenchymal enhancement |
| ALNs | axillary lymph nodes |
| RF | Random Forest |
| SVM | Support Vector Machine |
| XGBoost | eXtreme Gradient Boosting |
| K-NN | K-Nearest Neighbors |
| LR | Logistic Regression |
| ROC | the receiver operating characteristic |
| ACC | accuracy |
| SPE | specificity |
| SEN PPV NPV |
sensitivity positive predictive value negative predictive value |
| DFS | disease-free survival |
| ICC | intraclass correlation coefficient |