A Hybrid Approach for MS Diagnosis Through Nonlinear EEG Descriptors and Metaheuristic Optimized Classification Learning

<div>The shown ROC curves of the proposed method for MS diagnosis are based on various EEG signals. The performance of the proposed model is demonstrated by other similar methods such as SVM, SVM with GOA, and SVM with improved GOA.</div>

Computational Intelligence and Neuroscience

fig7

Figure 7

Figure 7: A Hybrid Approach for MS Diagnosis Through Nonlinear EEG Descriptors and Metaheuristic Optimized Classification Learning 