Table 2.

Performance evaluation of the best fusion model at different time intervals on test set

Time interval	Sample	Accuracy ()	Precision ()	Recall ()	F1-score ()	AUC ()
0–6 month	130	0.93 ± 0.05	0.59 ± 0.04	0.89 ± 0.08	0.71 ± 0.10	0.98 ± 0.01
6–12 month	135	0.92 ± 0.04	0.64 ± 0.08	0.89 ± 0.06	0.74 ± 0.17	0.94 ± 0.03
12–18 month	122	0.92 ± 0.11	0.31 ± 0.23	0.80 ± 0.04	0.44 ± 0.22	0.89 ± 0.09
18–24 month	140	0.86 ± 0.20	0.57 ± 0.12	0.52 ± 0.24	0.55 ± 0.12	0.84 ± 0.10
24–36 month	130	0.88 ± 0.01	0.44 ± 0.17	0.54 ± 0.27	0.48 ± 0.37	0.80 ± 0.15

Note: The best fusion model refers to AdaBoost (base estimator: logistic regression).

AUC, the area under the receiver operating characteristic curve.

The global model was assessed by grouping the outcomes of the test data at different time intervals (0–6, 6–12, 12–18, 18–24 and 24–36 months). There are 13, 18, 5, 23, and 13 patients with MCI progression in 0-6, 6-12, 12-18, 18-24, and 24-36 months, respectively.