Table 3 Evaluation metrics for machine learning modeling of PROs using objective features.
PRO | Accuracy (mean ± SD) | F1 Score (mean ± SD) | Sensitivity (mean ± SD) | Specificity (mean ± SD) | Precision (mean ± SD) | AUC – ROC (mean ± SD) |
---|---|---|---|---|---|---|
NRS | 0.768 ± 0.012 | 0.768 ± 0.012 | 0.737 ± 0.016 | 0.869 ± 0.007 | 0.775 ± 0.021 | 0.889 ± 0.032 |
PGIC | 0.827 ± 0.063 | 0.821 ± 0.058 | 0.657 ± 0.094 | 0.904 ± 0.059 | 0.709 ± 0.169 | 0.873 ± 0.081 |
PCS | 0.837 ± 0.025 | 0.796 ± 0.048 | 0.600 ± 0.284 | 0.935 ± 0.057 | 0.744 ± 0.158 | 0.893 ± 0.076 |
PHQ-9 | 0.852 ± 0.030 | 0.835 ± 0.037 | 0.620 ± 0.198 | 0.913 ± 0.045 | 0.703 ± 0.121 | 0.864 ± 0.061 |
ODI | 0.697 ± 0.042 | 0.657 ± 0.045 | 0.667 ± 0.053 | 0.852 ± 0.029 | 0.701 ± 0.075 | 0.862 ± 0.064 |
PR-29 - Physical Function | 0.884 ± 0.001 | 0.830 ± 0.001 | 0.978 ± 0.029 | 0.533 ± 0.339 | 0.942 ± 0.041 | 0.784 ± 0.173 |
PR-29 - Social Roles | 0.817 ± 0.035 | 0.812 ± 0.038 | 0.664 ± 0.110 | 0.896 ± 0.057 | 0.796 ± 0.082 | 0.883 ± 0.014 |
PR-29 - Depression | 0.887 ± 0.054 | 0.884 ± 0.053 | 0.687 ± 0.115 | 0.893 ± 0.047 | 0.646 ± 0.0966 | 0.888 ± 0.027 |
PR-29 - Anxiety | 0.843 ± 0.045 | 0.839 ± 0.046 | 0.766 ± 0.110 | 0.888 ± 0.037 | 0.755 ± 0.067 | 0.915 ± 0.032 |
PR-29 - Fatigue | 0.864 ± 0.067 | 0.850 ± 0.076 | 0.678 ± 0.078 | 0.920 ± 0.058 | 0.746 ± 0.142 | 0.889 ± 0.041 |
PR-29 - Sleep Disturbance | 0.948 ± 0.001 | 0.923 ± 0.001 | 0.350 ± 0.390 | 0.970 ± 0.032 | 0.437 ± 0.390 | 0.877 ± 0.102 |
PR-29 - Pain Interference | 0.846 ± 0.061 | 0.845 ± 0.061 | 0.833 ± 0.095 | 0.816 ± 0.078 | 0.844 ± 0. 0.058 | 0.917 ± 0.032 |