Fig. 1 | Scientific Reports

Fig. 1

From: Development and validation of a machine learning-based nomogram for survival prediction of patients with hilar cholangiocarcinoma after curative-intent resection

Fig. 1

Five machine learning algorithms and Cox regression for screening independent risk factors. (a) LASSO coefficient profiles of the 21 risk factors. (b) Twenty risk factors selected using LASSO regression analysis. (c–g) Forward Stepwise Cox, Boruta feature selection, Random Forest, XGBoost and Cox regression analysis to screen risk factors.

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