Figure 2.

Selection of risk factors for POD using the LASSO binary logistic regression model.

Notes: (A) The LASSO model’s optimal parameters (lambda) were selected using five-fold cross-validation with the minimum criteria. The logarithm of the partial likelihood deviation (binomial deviation) curves was shown. Using the minimal criteria and its one standard error, dashed vertical lines are displayed at the optimal values (1-SE criterion). (B) Profiles of the lasso coefficients for 46 characteristics. log(λ) sequences were used to plot coefficient profiles. The optimum lambda produces six features with non-zero coefficients, which are represented as vertical lines at values chosen using five-fold cross-validation.

Abbreviations: LASSO, least absolute shrinkage and selection operator; SE, standard error.