Predicting MCI progression with FDG-PET and cognitive scores: a longitudinal study

BMC Neurology

Table 2 Comparison of the classification performance in static features

*Feature*	*ACC(%)*	*SEN(%)*	*SPE(%)*	*AUC*
Static_mbl	59.49	6.06	97.83	0.5402
Static_m6	78.48	57.58	93.48	0.6634
Static_m12	73.41	48.48	91.30	0.6344
Static_m18	70.88	45.45	89.13	0.5428
Static_all	75.95	51.52	93.48	0.6614

ACC classification accuracy, SEN classification sensitivity, SPE classification specificity, AUC Area Under Curve, Static_mbl static feature obtained in the baseline, Static_m6 static feature obtained in the 6th month after baseline, Static_m12 static feature obtained in the 12th month after baseline, Static_m18 static feature obtained in the 18th month after baseline, Static_all combining all the static features

ISSN: 1471-2377