Machine-Learning Classifier for Patients with Major Depressive Disorder: Multifeature Approach Based on a High-Order Minimum Spanning Tree Functional Brain Network

<div><i>ROC curves of the different methods.</i> Receiver operating characteristic (ROC) curves of the proposed method, the partial correlation network, the Pearson correlation network, the higher-order functional connectivity network, and the method using only subgraph patterns as features and quantifiable local network features. The proposed method has the greatest ROC.</div>

Computational and Mathematical Methods in Medicine

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Figure 4: Machine-Learning Classifier for Patients with Major Depressive Disorder: Multifeature Approach Based on a High-Order Minimum Spanning Tree Functional Brain Network 

Figure 4 | Machine-Learning Classifier for Patients with Major Depressive Disorder: Multifeature Approach Based on a High-Order Minimum Spanning Tree Functional Brain Network 