Table 3.
Performance metrics of the DBN and MLR model for predicting the 5-year comorbidities.
| Comorbidity | DBN | MLR | ||||||
|---|---|---|---|---|---|---|---|---|
| Sen | Spe | Acc | AUC (95% CI) | Sen | Spe | Acc | AUC (95% CI) | |
| SAS | 0.64 | 0.92 | 0.91 | 0.83 (0.76, 0.91) | 0.90 | 0.73 | 0.73 | 0.90 (0.86, 0.94) |
| Hypertension | 0.83 | 0.83 | 0.84 | 0.89 (0.87, 0.91) | 0.73 | 0.67 | 0.68 | 0.76 (0.73, 0.79) |
| T2D | 0.96 | 0.89 | 0.90 | 0.94 (0.92, 0.96) | 0.78 | 0.68 | 0.69 | 0.76 (0.72, 0.81) |
| Depression | 0.51 | 0.95 | 0.87 | 0.75 (0.72, 0.78) | 0.66 | 0.55 | 0.57 | 0.61 (0.67, 0.65) |
| Dyslipidemia | 0.78 | 0.91 | 0.90 | 0.92 (0.88, 0.95) | 0.76 | 0.67 | 0.68 | 0.77 (0.74, 0.82) |
DBN, discrete Bayesian network; MLR, multivariable logistic regression; Sen, sensitivity; Spe, specificity; Acc, accuracy; AUC, area under the ROC curve; CI, confidence interval; SAS: sleep apnea syndrome; T2D, type 2 diabetes.