Table 2 Test characteristics of Opioid Classifier across a range of cutpoints in calibrated model
From: External validation of an opioid misuse machine learning classifier in hospitalized adult patients
Cutpoint | Sensitivity (95% CI) | Specificity (95% CI) | PPV (95% CI) | NPV (95% CI) |
|---|---|---|---|---|
0.35 | 0.86 (0.83, 0.89) | 0.99 (0.99, 0.99) | 0.67 (0.64, 0.71) | 0.99 (0.99, 0.99) |
0.40 | 0.83 (0.80, 0.86) | 0.99 (0.99, 0.99) | 0.69 (0.65, 0.72) | 0.99 (0.99, 0.99) |
0.42a | 0.81 (0.77, 0.84) | 0.99 (0.99, 0.99) | 0.7 (0.67, 0.74) | 0.99 (0.99, 0.99) |
0.45 | 0.79 (0.75, 0.82) | 0.99 (0.99, 0.99) | 0.71 (0.67, 0.74) | 0.99 (0.99, 0.99) |
0.50a | 0.78 (0.74, 0.81) | 0.99 (0.99, 0.99) | 0.72 (0.68, 0.75) | 0.99 (0.99, 0.99) |
0.55 | 0.64 (0.60, 0.68) | 0.99 (0.99, 0.99) | 0.77 (0.74, 0.81) | 0.99 (0.99, 0.99) |
0.60 | 0.56 (0.52, 0.60) | 0.99 (0.99, 0.99) | 0.82 (0.78, 0.85) | 0.99 (0.99, 0.998) |