Copyright
©The Author(s) 2017.
World J Transplant. Jun 24, 2017; 7(3): 161-178
Published online Jun 24, 2017. doi: 10.5500/wjt.v7.i3.161
Published online Jun 24, 2017. doi: 10.5500/wjt.v7.i3.161
kSORT predictions | ||||||
AART143 (training set) | AART124 (validation set) | AART100 (cross-validation set) | ||||
AR | No AR | AR | No AR | AR | No AR | |
Real results | 3 | |||||
AR | 39 | 8 | 21 | 2 | 36 | 43 |
No AR | 9 | 87 | 1 | 100 | 3 | |
Sensitivity (95%CI) | 82.98% (69.19%-92.35%) | 91.30% (71.96%-98.38%) | 92.31% (79.13%-98.38%) | |||
Specificity (95%CI) | 90.63% (82.95%-95.62%) | 99.01% (94.61%-99.97%) | 93.48% (82.1%-96.63%) | |||
PPV (95%CI) | 81.25% (68.06%-89.81%) | 95.46% (78.20%-99.19%) | 93.21% (79.68%-97.35%) | |||
NPV (95%CI) | 91.58% (84.25%-95.67%) | 98.04% (93.13%-99.46%) | 93.48% (82.45%-97.76%) | |||
AUC (95%CI) | 0.94 (0.91-0.98) | 0.95 (0.88-1.00) | 0.92 (0.86-0.98) |
- Citation: Salvadori M, Tsalouchos A. Biomarkers in renal transplantation: An updated review. World J Transplant 2017; 7(3): 161-178
- URL: https://www.wjgnet.com/2220-3230/full/v7/i3/161.htm
- DOI: https://dx.doi.org/10.5500/wjt.v7.i3.161