Table III.
Models | AUC | Threshold | Sensitivity | Specificity |
---|---|---|---|---|
THEATER BBN | 0.68 [0.58,0.78] | 0.53 [0.49,0.58] | 0.66 [0.43,0.88] | 0.66 [0.45,0.88] |
THEATER TRMS | 0.72 [0.63,0.81] | 1 | 0.74 [0.64,0.85] | 0.69 [0.55,0.82] |
THEATER BBN + TRMS | 0.71 [0.63,0.80] | 0.89 [0.58,1.0] | 0.76 [0.67,0.86] | 0.69 [0.55,0.82] |
THEATER BBN + TRMNS | 0.77 [0.69,0.84] | 0.42 [0.12,0.49] | 0.70 [0.58,0.82] | 0.83 [0.70,0.94] |
MEDCEN BBN | 0.67 [0.57,0.78] | 0.51 [0.48,0.53] | 0.64 [0.47,0.85] | 0.69 [0.49,0.86] |
MEDCEN TRMS | 0.71 [0.63,0.81] | 1 | 0.74 [0.63,0.87] | 0.68 [0.53,0.80] |
MEDCEN BBN + TRMS | 0.70 [0.61,0.80] | 0.90 [0.53,1] | 0.76 [0.65,0.87] | 0.67 [0.53,0.807] |
MEDCEN BBN + TRMNS | 0.76 [0.68,0.85] | 0.42 [0.11,0.50] | 0.70 [0.58,0.82] | 0.82 [0.70,0.92] |
BBN = Bayesian Belief Network (produces a probability for having IFI); TRMS = Two-rule Model Satisfied (assigns 1 if satisfied, and 0 otherwise); BBN + TRMS = Bayesian Belief Network plus Two-rule Model Satisfied (assigns 1 if TRM is satisfied, otherwise BBN produces a probability for having IFI); BBN + TRMNS = Bayesian Belief Network plus Two-rule Model Not Satisfied (assigns 0 if TRM is not satisfied, otherwise BBN produces a probability for having IFI).