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. 2019 Aug 19;11:7825–7834. doi: 10.2147/CMAR.S217887

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© 2019 Yang et al.

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(A and B) Features used in the model and a description of the rad-score calculation. The least absolute shrinkage and selection operator (LASSO) logistic regression analysis identified 14 suitable radiomic features for building the prediction model (A). On the left is the training cohort, on the right is the validation cohort, and red and blue represent the real group. The middle black line represents the cut-off value. If the black line can separate the red point from the blue point, it means that the model identification ability is better (B).