Table IV.
Model Performance for External Validation Dataset (Sensitivity Is Maximized While Specificity Is Closest to 0.5 But Not Less)
| Models | AUC | Threshold | Sensitivity | Specificity |
|---|---|---|---|---|
| THEATER BBN | 0.68 [0.58,0.78] | 0.51 [0.29,0.58] | 0.68 [0.41,0.88] | 0.63 [0.51,0.86] |
| 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] | 0.60 [0.49,0.74] | 0.80 [0.69,0.90] | 0.59 [0.51,0.69] |
| THEATER BBN + TRMNS | 0.77 [0.69,0.84] | 0.12 [0.12,0,12] | 0.74 [0.64,0.85] | 0.69 [0.55,0.82] |
| MEDCEN BBN | 0.67 [0.57,0.78] | 0.48 [0.25,0.50] | 0.71 [0.54,0.87] | 0.57 [0.51,0.69] |
| MEDCEN TRMS | 0.71 [0.63,0.81] | 1 | 0.74 [0.63,0.87] | 0.68 [0.53,0.81] |
| MEDCEN BBN + TRMS | 0.70 [0.61,0.80] | 0.56 [0.49,0.75] | 0.80 [0.69,0.90] | 0.55 [0.51,0.65] |
| MEDCEN BBN + TRMNS | 0.76 [0.68,0.85] | 0.12 [0.12,0.12] | 0.74 [0.63,0.87] | 0.68 [0.53,0.81] |
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).