Machine Learning-driven ADHD Classification: Exploring MedicationEffects with VMD Sub-band Analysis
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.
Authors
- Şerife Gengeç Benli (ORCID: https://orcid.org/0000-0002-5527-8574)
- Zeynep Ak (ORCID: https://orcid.org/0000-0002-2113-6439)
- Ebru Aker (ORCID: https://orcid.org/0000-0001-8791-2990)
Institutions
- Erciyes University (TR)
Publication Details
- Journal
- Current Computer - Aided Drug Design
- Published
- 2026-01-12
- DOI
- https://doi.org/10.2174/0115734099400072251022043532
- Primary Topic
- Attention Deficit Hyperactivity Disorder
- Type
- article
- Field-Weighted Citation Impact
- 0.00