Radiomic Signatures for Predicting Receptor Status in Breast Cancer Brain Metastases.

Marginally significant features were selected using the least absolute shrinkage and selection operator (LASSO) and logistic regression model, which performed variable selection and regularization to enhance the prediction accuracy and interpretability of the statistical model.

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