Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data

Table 3

Leave-one-site-out cross validation results using multichannel DANN.

Site-out	Size	Accuracy	Sensitivity	Precision	F-score	Specificity
TRINITY	46	0.696 ± 0.012	0.640 ± 0.012	0.762 ± 0.036	0.696 ± 0.004	0.679 ± 0.070
YALE	56	0.696 ± 0.025	0.679 ± 0.029	0.714 ± 0.032	0.691 ± 0.034	0.682 ± 0.065
STANFORD	39	0.615 ± 0.018	0.350 ± 0.025	0.778 ± 0.039	0.483 ± 0.015	0.685 ± 0.032
SDSU	36	0.694 ± 0.024	0.727 ± 0.095	0.762 ± 0.072	0.744 ± 0.059	0.705 ± 0.067
CALTECH	36	0.667 ± 0.029	0.556 ± 0.016	0.714 ± 0.029	0.625 ± 0.015	0.693 ± 0.038
UCLA	98	0.755 ± 0.015	0.795 ± 0.017	0.700 ± 0.009	0.745 ± 0.012	0.701 ± 0.019
CMU	27	0.630 ± 0.019	0.692 ± 0.044	0.600 ± 0.037	0.643 ± 0.044	0.684 ± 0.035
USM	71	0.803 ± 0.015	0.560 ± 0.028	0.824 ± 0.034	0.667 ± 0.029	0.685 ± 0.038
NYU	175	0.709 ± 0.019	0.720 ± 0.026	0.758 ± 0.027	0.738 ± 0.039	0.689 ± 0.022
PITT	56	0.696 ± 0.022	0.778 ± 0.023	0.656 ± 0.002	0.712 ± 0.027	0.717 ± 0.013
LEUVEN	29	0.621 ± 0.017	1.000 ± 0.017	0.577 ± 0.027	0.732 ± 0.028	0.674 ± 0.022
UM	126	0.684 ± 0.026	0.761 ± 0.008	0.675 ± 0.009	0.715 ± 0.008	0.671 ± 0.012
Mean	62	0.713 ± 0.022	0.712 ± 0.081	0.731 ± 0.087	0.707 ± 0.043	0.713 ± 0.057

All data are mean and standard deviation.