模型 | 序列 | AUC (95% CI) | 准确性 | 敏感性 | 特异性 | PPV | NPV |
LR | T1 | 0.806 (0.737~0.871) | 0.725 | 0.740 | 0.711 | 0.711 | 0.740 |
T2 | 0.754 (0.671~0.836) | 0.711 | 0.671 | 0.750 | 0.721 | 0.704 | |
PD | 0.798 (0.722~0.868) | 0.732 | 0.699 | 0.763 | 0.739 | 0.725 | |
联合 | 0.859 (0.801~0.914) | 0.799 | 0.795 | 0.803 | 0.795 | 0.803 | |
RF | T1 | 0.867 (0.808~0.917) | 0.785 | 0.753 | 0.816 | 0.797 | 0.775 |
T2 | 0.841 (0.775~0.899) | 0.772 | 0.712 | 0.829 | 0.800 | 0.750 | |
PD | 0.863 (0.802~0.919) | 0.752 | 0.658 | 0.842 | 0.800 | 0.719 | |
联合 | 0.905 (0.853~0.948) | 0.785 | 0.726 | 0.842 | 0.815 | 0.762 | |
SVM | T1 | 0.795 (0.725~0.861) | 0.718 | 0.616 | 0.816 | 0.763 | 0.689 |
T2 | 0.834 (0.768~0.898) | 0.772 | 0.740 | 0.803 | 0.783 | 0.763 | |
PD | 0.733 (0.697~0.845) | 0.691 | 0.521 | 0.855 | 0.776 | 0.650 | |
联合 | 0.852 (0.793~0.913) | 0.758 | 0.699 | 0.816 | 0.785 | 0.738 |