Anatomical Biomarkers for Adolescent Major Depressive Disorder from Diffusion Weighted Imaging using SVM Classifier

Keyphrases

• Sparsity 100%
• Adolescent Major Depressive Disorder 100%
• Diffusion-weighted Imaging 100%
• SVM Classifier 100%
• Participation Coefficient 75%
• Right Lateral 50%
• Diffusion Tensor Imaging 25%
• Disability 25%
• Major Depressive Disorder 25%
• Classification Accuracy 25%
• Performance Evaluation 25%
• Anatomical Connectivity 25%
• Severe Mental Illness 25%
• Brain Regions 25%
• Machine Learning Approach 25%
• Suicide 25%
• Value-based 25%
• Classification Performance 25%
• Accuracy Improvement 25%
• Lateral Occipital Complex 25%
• Selected Features 25%
• Anatomical Networks 25%
• Imaging Measurement 25%
• Anatomical Features 25%
• Sulcus 25%
• Leave-one-out 25%
• Common Mental Disorders 25%
• Cross-validation Method 25%
• Betweenness Centrality 25%
• Network Measures 25%
• Optimal Classification 25%
• Lateral Orbitofrontal Cortex 25%
• Lingual Gyrus 25%
• Pars Opercularis 25%
• Minimum Redundancy Maximum Relevance (mRMR) 25%
• Proposed Methodology 25%
• P-value Combination 25%

Neuroscience

• Major Depressive Disorder 100%
• Diffusion MRI 100%
• Diffusion Tensor Imaging 33%
• Orbitofrontal Cortex 33%
• Lingual Gyrus 33%
• Lateral Occipital Sulcus 33%