Using machine learning to detect ADHD with near perfect accuracy

A new study led by a University at Buffalo researcher has identified how specific communication among different brain regions, known as brain connectivity, can serve as a biomarker for attention deficit hyperactivity disorder (ADHD). The research relied on a deep architecture using machine-learning classifiers to identify with 99% accuracy those adults who had received a … Continue reading Using machine learning to detect ADHD with near perfect accuracy