Enhanced Machine Learning Approach to ADHD Classification Using Actigraphy Data

Attention Deficit Hyperactivity Disorder (ADHD) diagnosis remains challenging due to its heterogeneous presentation and reliance on subjective assessments. This study investigates the potential of actigraphy data combined with advanced machine learning techniques to classify ADHD status. We collected daily activity data from 45 participants (23 with ADHD, 22 without ADHD) from the OBF-Psychiatric dataset and extracted novel features capturing temporal patterns, activity transitions, and…

via https://pubmed.ncbi.nlm.nih.gov/40588896/?utm_source=Other&utm_medium=rss&utm_campaign=None&utm_content=1lqZ3NPYysePVKsoyz66mDSgu4veDGJwnUBS47TBQPoOuNZY5J&fc=None&ff=20250713011006&v=2.18.0.post9+e462414