Subtype classification of attention deficit hyperactivity disorder with hierarchical binary hypothesis testing framework

The diagnosis of attention deficit hyperactivity disorder (ADHD) subtypes is important for the refined treatment of ADHD children. Although automated diagnosis methods based on machine learning are performed with structural and functional magnetic resonance imaging (sMRI and fMRI) data which have full observation of brains, they are not satisfactory with the accuracy of less than 80% for the ADHD subtype diagnosis. Approach: To improve the accuracy and obtain the biomarker of ADHD…


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