Multiclass EEG-Based Classification of Psychiatric Disorders Using Interpretable Machine Learning on Spectral and Connectivity Features
Psychiatric diagnosis relies heavily on subjective clinical evaluation, limiting objective differentiation across co-occurring disorders. This study presents an interpretable multiclass electroencephalography (EEG)-based framework for —Addictive Disorder, Anxiety Disorder, Mood Disorder, Obsessive-Compulsive Disorder (...