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. 2018 Aug 14;184(1-2):e235–e242. doi: 10.1093/milmed/usy182

Table III.

Model Performance for External Validation Dataset (Product of Sensitivity and Specificity Is Maximized)

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).