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. 2022 Dec 28;19(12):960–969. doi: 10.11909/j.issn.1671-5411.2022.12.003

Figure 1.

Figure 1

LASSO Cox regression model to select candidate variables associated with one-year mortality after percutaneous coronary intervention.

(A): Plot of 10-fold cross-validation via minimum criteria for selection of the optimal value of tuning parameter (λ). Dotted vertical lines were drawn at the value with the minimum criteria and one standard error of the minimum criteria; and (B): LASSO coefficient profiles of 35 clinical features associated with one-year mortality after percutaneous coronary intervention. A dotted vertical line is drawn at the optimal λ value of ten nonzero coefficients through 10-fold cross-validation. LASSO: least absolute shrinkage and selection operator.