Automatic detection of attention deficit hyperactivity disorder using machine learning algorithms based on short time Fourier transform and discrete cosine transform

This automated detection technology could help clinicians improve early diagnosis and personalized treatment options. The current study's findings contribute to the literature through uniqueness, and the suggested technique can eventually be used as a medical tool for diagnosis in the future.