Table 4.

Data analysis comparing CBA-IF and CBA-FC.

	CBA-FC1	95% CI	CBA-FC2	95% CI	CBA-FC3	95% CI	CBA-FC4	95% CI	CBA-FC5	95% CI	CBA-FC6	95% CI
(AUC) of the ROC	0.959	0.918 to 0.999	0.973	0.943 to 1.000	0.968	0.939 to 0.996	0.984	0.967 to 1.000	0.931	0.870 to 0.993	0.946	0.896 to 0.997
Sensitivity	0.933	0.807 to 0.983	0.956	0.836 to 0.992	0.933	0.807 to 0.983	0.956	0.836 to 0.992	0.844	0.699 to 0.930	0.889	0.752 to 0.958
Specificity	0.915	0.806 to 0.968	0.915	0.805 to 0.968	0.915	0.806 to 0.968	0.915	0.806 to 0.968	0.983	0.897 to 0.999	0.983	0.897 to 0.999
Positive Predictive Value	0.894	0.761 to 0.960	0.896	0.766 to 0.961	0.894	0.761 to 0.960	0.896	0.766 to 0.961	0.974	0.849 to 0.999	0.976	0.856 to 0.999
Negative Predictive Value	0.947	0.845 to 0.986	0.964	0.866 to 0.994	0.947	0.845 to 0.986	0.964	0.866 to 0.994	0.892	0.785 to 0.952	0.921	0.817 to 0.970
Kappa coefficient values	0.844	0.740 to 0.948	0.864	0.767 to 0.961	0.844	0.740 to 0.948	0.864	0.767 to 0.961	0.841	0.736 to 0.946	0.881	0.789 to 0.973
Spearman’s coefficient values	0.802	0.718 to 0.864	0.824	0.748 to 0.879	0.825	0.749 to 0.880	0.844	0.776 to 0.893	0.764	0.666 to 0.836	0.790	0.700 to 0.855