Machine Learning-driven ADHD Classification: Exploring Medication Effects with VMD Sub-band Analysis

CONCLUSION: The VMD-based approach improves classification accuracy, especially in distinguishing ADHD subtypes and medication effects, supporting its potential as an objective tool for diagnosis and treatment planning.

via https://pubmed.ncbi.nlm.nih.gov/41572717/?utm_source=Other&utm_medium=rss&utm_campaign=None&utm_content=1L37KAMf2b_g4WEK3LmdFuKZu9pO3cN7u4ZmO9PPCPeBLMIw1q&fc=None&ff=20260202010905&v=2.18.0.post22+67771e2