Fig 1.
Flow chart of study subjects and the process of five-fold cross validation.
Table 1.
Baseline characteristics of datasets.
Fig 2.
Internal and external validation of predictive models.
The area under the receiver operating characteristics curves of the derivation cohort (A), the curves of the validation cohort (B), and the area under the precision-recall curves of the derivation cohort (C) and validation cohort (D) are shown. AUC = the area under the curve, CI = confidence interval.
Fig 3.
Feature importance of the RF model using the reduction in GINI impurity.
Important factors for SBI prediction are listed in the order of importance, and the feature importance was obtained using the scikit-learn library [20]. CSF = cerebrospinal fluid.
Table 2.
Conventional logistic regression analysis.
Table 3.
Values of categorical variables used in the analysis.