Figure 3.

Feature selection, training and validation processes for the prediction model. The original included cohort was randomly subdivided into training (70% of the original cohort) and test cohorts (30% of the original cohort). Feature selection was conducted via recursive feature elimination through 10-fold cross-validation (RFECV).