Xiao-Le Wang

An explainable machine learning model based on multidimensional task-state electroencephalography for identifying attention-deficit/hyperactivity disorder comorbid developmental dyslexia

The findings suggest that multidimensional task-state EEG features may help differentiate children with ADHD-DD comorbidity from those with ADHD or typical development and indicate that machine-learning approaches may be useful for identifying neurodevelopmental comorbid conditions.