Research Paper Volume 12, Issue 18 pp 18151—18162

Distant metastasis prediction via a multi-feature fusion model in breast cancer

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Figure 2. Construction of the clinicopathological-feature alone model. (A) Selection of tuning parameter lambda in the LASSO model used 10-fold cross-validation. The gray line in the figure is the partial likelihood estimate corresponding to the optimal value of lambda. The optimal lambda value of 2.313 was chosen. (B) LASSO coefficient profiles of the eleven selected features. A vertical line was plotted at the optimal lambda value, which resulted in seven features with nonzero coefficients. (C) A nomogram was developed in the training data set with clinicopathological characteristics. Calibration curves and ROC curves of the nomogram for the training set (D, G), validation set (E, H) and total population (F, I).