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

Table 4

Comparison of multichannel DANN on different data combinations using 10-fold cross validation on the entire dataset.

Data	Accuracy	Sensitivity	Precision	F-score	Specificity
AAL + HO + CC + Demo	0.732 ± 0.024	0.745 ± 0.115	0.730 ± 0.053	0.736 ± 0.042	0.717 ± 0.101
AAL + HO + Demo	0.700 ± 0.035	0.698 ± 0.068	0.701 ± 0.035	0.702 ± 0.004	0.673 ± 0.401
AAL + CC + Demo	0.703 ± 0.009	0.721 ± 0.084	0.686 ± 0.071	0.699 ± 0.067	0.697 ± 0.060
HO + CC + Demo	0.691 ± 0.018	0.696 ± 0.098	0.686 ± 0.106	0.690 ± 0.054	0.687 ± 0.065
AAL + Demo	0.666 ± 0.002	0.683 ± 0.080	0.650 ± 0.071	0.659 ± 0.006	0.679 ± 0.031
HO + Demo	0.689 ± 0.027	0.681 ± 0.078	0.696 ± 0.106	0.691 ± 0.011	0.685 ± 0.057
CC + Demo	0.692 ± 0.053	0.703 ± 0.092	0.681 ± 0.141	0.689 ± 0.043	0.704 ± 0.055
AAL + HO + CC	0.720 ± 0.062	0.696 ± 0.097	0.738 ± 0.212	0.724 ± 0.078	0.695 ± 0.056
AAL + HO	0.684 ± 0.027	0.636 ± 0.084	0.730 ± 0.018	0.699 ± 0.035	0.673 ± 0.050
AAL + CC	0.695 ± 0.018	0.683 ± 0.083	0.706 ± 0.124	0.700 ± 0.030	0.683 ± 0.052
HO + CC	0.688 ± 0.027	0.666 ± 0.086	0.711 ± 0.053	0.697 ± 0.020	0.683 ± 0.055
AAL	0.658 ± 0.009	0.641 ± 0.078	0.674 ± 0.141	0.663 ± 0.035	0.658 ± 0.032
HO	0.679 ± 0.009	0.683 ± 0.065	0.674 ± 0.071	0.677 ± 0.007	0.691 ± 0.029
CC	0.682 ± 0.005	0.651 ± 0.071	0.713 ± 0.106	0.693 ± 0.034	0.677 ± 0.046

AAL: AAL atlas-based FC; HO: HO atlas-based FC; CC: CC200 atlas-based FC; Demo: PC data. All data are mean and standard deviation.