Table 5.

Attention-deficit/hyperactivity disorder (ADHD) classification results from published studies.

Dataset	Modality	Classifier	AUC	ACC	Sensitivity	Specificity	F1-score	References
ABCD	sMRI, rsfMRI, DTI	MKL	0.698	0.643	0.609	0.676	0.626	Our work
ADHD200	sMRI	Random Forest	–	0.754	–	–	–	(Wang et al., 2021)
ADHD200	sMRI, rsfMRI	CNN	–	0.692	–	–	–	(Zou et al., 2017)
ADHD200	sMRI, rsfMRI	linear kernel SVM	0.71	0.686	0.781	0.573	0.677	(Tan et al., 2017)
ADHD200	sMRI, rsfMRI	CNN+SVM	–	0.673	0.455	0.851	–	(Sen et al., 2018)
ADHD200	sMRI,	RBF kernel SVM	–	0.661	–	–	–	(Ghiassian et al., 2016)
ADHD200	rsfMRI	RBF kernel SVM	–	0.597	–	–	–	(Ghiassian et al., 2016)
ADHD200	personal character	linear kernel SVM	–	0.625	–	–	–	(Brown, 2012)
ADHD200	sMRI, rsfMRI	MKL	0.629	0.615	0.777	0.413	0.488	(Dai et al., 2012)
ADHD200	sMRI, rsfMRI	Kernel PCA	–	0.614	–	–	–	(Sidhu et al., 2012)
ADHD200	sMRI, rsfMRI	Random Forest	–	0.61	0.21	0.94	–	(Eloyan et al., 2012)
ADHD200	sMRI, rsfMRI, personal character	RBF kernel SVM	–	0.59	0.24	0.85	–	(Colby et al., 2012)
ADHD200	rsfMRI	Logistic regression	–	0.54	0.222	0.807	–	(Sato et al., 2012)