Fig 1.
Research workflow and methodology applied in this study.
Table 1.
Comprehensive baseline characteristics and outcome of the complete dataset.
Table 2.
Comparison between ranked features selected by ML feature selection and the FRS risk score.
Table 3.
The AUC of FRS and RPCE risk scores and ML models with feature selection based on a 30% validation dataset.
Table 4.
Detailed performance metrics of ML models with feature selection.
Table 5.
Detailed performance metrics of best LR model (LR selected var) on the imputed dataset and complete dataset.
Fig 2.
SHAP Analysis.
Table 6.
NRI Comparison between Machine Learning Methods and FRS.
Table 7.
NRI Comparison between Machine Learning Methods and RPCE.