From: Application of artificial neural network model in diagnosis of Alzheimer’s disease
Assessment index | ANN (95% CI) | Logistic regression (95% CI) | kNN (95% CI) | SVM (95% CI) |
---|---|---|---|---|
Sensitivity (%) | 87.28 (85.12–88.34) | 71.36 (69.18–72.93) | 75.42 (73.24–76.17) | 84.23(82.78–85.63) |
Specificity (%) | 94.74 (92.61–95.75) | 90.25 (87.82–91.85) | 89.39 (87.65–90.49) | 90.45(88.65–91.73) |
Accuracy (%) | 92.13 (89.48–92.57) | 83.92 (80.31–85.11) | 84.91 (83.01–86.41) | 86.04(84.93–88.10) |
PPV (%) | 88.64 (86.83–90.06) | 73.11 (71.09–74.86) | 83.02 (82.17–85.23) | 82.36 (81.25–83.94) |
NPV (%) | 91.28 (90.41–93.10) | 86.37 (85.19–88.26) | 86.41 (84.85–88.15) | 88.77(87.21–90.33) |
AUC | 0.897 (0.877–0.915) | 0.804 (0.781–0.818) | 0.832 (0.817–0.849) | 0.864 (0.853–0.876) |