Table 5.
Generic and differential diagnosis AUC testing metrics for Random Forest model.
| CMR indices | Radiomics | p-value | |||
|---|---|---|---|---|---|
| General model | Mean | STD | Mean | STD | |
| Random Forest | 0.978 | 0.03 | 0.964 | 0.01 | >0.05 |
| Differential diagnosis models | |||||
| DCM-vs.-Rest | 0.97 | 0.02 | 0.93 | 0.03 | >0.05 |
| HCM-vs.-Rest | 1.00 | 0.00 | 0.99 | 0.03 | >0.05 |
| NOR-vs.-Rest | 0.95 | 0.02 | 0.97 | 0.02 | >0.05 |
| LVNC-vs.-Rest | 0.96 | 0.04 | 0.92 | 0.03 | >0.05 |
P-values are presented in the table for statistical significance analysis and prove they are comparable. Bold values represent the highest AUC value obtained in test.