Classification of familial and non-familial ADHD using auto-encoding network and binary hypothesis testing

Family heritage is one of the most powerful risk factors for attention-deficit/hyperactivity disorder (ADHD). Children with familial ADHD (ADHD-F) and non-familial ADHD (ADHD-NF) have both shared and distinct behavioral characteristics and clinical outcomes, with their neuropathological underpinnings under-investigated. In this study, we utilized an autoencoder-based deep learning architecture within the binary hypothesis framework to identify the most important structural- and…

via https://pubmed.ncbi.nlm.nih.gov/42190896/?utm_source=Other&utm_medium=rss&utm_campaign=None&utm_content=1L37KAMf2b_g4WEK3LmdFuKZu9pO3cN7u4ZmO9PPCPeBLMIw1q&fc=None&ff=20260607010909&v=2.20.0