Research Article
Development and Verification of a Combined Diagnostic Model for Sarcopenia with Random Forest and Artificial Neural Network
Table 3
Evaluation of key DEG diagnostic capabilities.
| Genes symbol | Sensitivity (%) | Specificity (%) | AUC | 95% CI | Youden index |
| MT1X | 0.93 | 0.84 | 0.932 | 0.880-0.983 | 0.77 | FAM171A1 | 0.837 | 0.94 | 0.929 | 0.874-0.985 | 0.777 | ZNF415 | 1 | 0.66 | 0.925 | 0.875-0.974 | 0.66 | ARHGAP36 | 0.791 | 0.96 | 0.91 | 0.851-0.969 | 0.751 | CISD1 | 0.93 | 0.88 | 0.905 | 0.834-0.976 | 0.81 | ETNPPL | 0.86 | 0.86 | 0.893 | 0.823-0.964 | 0.72 | WISP2 | 0.698 | 0.96 | 0.86 | 0.784-0.936 | 0.658 |
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