Application of Transfer Learning in Field Verification for Children in Attention Deficit Hyperactivity Disorder

Abstract

The state-of-the-art treatment for ADHD is medication and behavioral training. Medication can improve the symptoms of patients. However, due to the long-term effects and some side effects, it may cause doubts and worries for parents. For school-age children, The non-drug behavioral training method is the first-line treatment, and only school-age children will start to use drug therapy. We applied EEG data collected from hospital to transfer learning model as an independent new dataset, and the training data of the model is from a different hospital, in this case, we can fulfill the goal of field verification, and it can help the physicians to apply new data from other hospitals into the model for assistant surveillances.