Feature selection and construction of RadScore
REGRESSION
For the training cohort, mRMR (Max-Relevance and Min-Redundancy) was performed to eliminate the redundant and irrelevant features, and finally, 30 features were retained. Then LASSO (least absolute shrinkage and selection operator) regression was used to choose the optimized subset of features to construct the radiomics model (Gui and Li 