An explainable machine learning-based approach to predicting treatment response for neurofeedback in ADHD

Attention-deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder with serious long-term effects if untreated, emphasizing the need for early treatment given its neurobiological heterogeneity. This study introduces a novel explainable machine learning framework to predict neurofeedback treatment response for personalized ADHD intervention, offering transparent and clinically actionable insights. Seventy-eight features, including demographic, behavioral, and personality…

via https://pubmed.ncbi.nlm.nih.gov/41345480/?utm_source=Other&utm_medium=rss&utm_campaign=None&utm_content=1HYeX0emtvYgH07Wkz0a8n9otrdMd-JIklc_uo0I5vh1u9WMEy&fc=None&ff=20251205010805&v=2.18.0.post22+67771e2


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