A Decision Support System Based on multi-head convolutional and Recurrent Neural Networks for assisting physicians in diagnosing ADHD

MCRNet shows potential in reliably aiding ADHD diagnosis. Its two-stage multi-head approach enhances feature extraction and classification from raw EEG signals. Future work should focus on MCRNet's explainability and test its efficacy on additional EEG datasets.