模型	序列	AUC (95% CI)	准确性	敏感性	特异性	PPV	NPV
LR	T1	0.764 (0.641~0.877)	0.656	0.750	0.563	0.632	0.692
	T2	0.825 (0.722~0.922)	0.750	0.750	0.750	0.750	0.750
	PD	0.745 (0.613~0.869)	0.688	0.625	0.750	0.714	0.667
	联合	0.850 (0.752~0.938)	0.781	0.750	0.813	0.800	0.765
RF	T1	0.780 (0.663~0.877)	0.672	0.688	0.656	0.667	0.677
	T2	0.842 (0.733~0.942)	0.766	0.719	0.813	0.793	0.743
	PD	0.734 (0.607~0.858)	0.750	0.625	0.875	0.833	0.700
	联合	0.889 (0.794~0.959)	0.766	0.656	0.875	0.840	0.718
SVM	T1	0.761 (0.643~0.869)	0.703	0.688	0.719	0.710	0.697
	T2	0.819 (0.713~0.915)	0.719	0.625	0.813	0.769	0.684
	PD	0.758 (0.632~0.866)	0.703	0.500	0.906	0.842	0.644
	联合	0.847 (0.741~0.933)	0.797	0.719	0.875	0.852	0.757