Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images

Neuroscience

• Alzheimer's Disease 100%
• Brain 33%
• Gray Matter 33%
• Hippocampus 33%
• Magnetic Resonance Imaging 100%
• Mild Cognitive Impairment 100%
• Neurodegeneration 33%
• Parahippocampal Gyrus 33%
• Support Vector Machine 33%

Computer Science

• Accuracy 25%
• Classification Accuracy 100%
• Classifier 12%
• Disease Patient 12%
• Feature Selection 100%
• Filtering 37%
• High Dimensionality 12%
• Machine Learning Approach 12%
• Neuroimaging Data 12%
• Normal Subject 25%
• Parahippocampal Gyrus 12%
• Predictive Accuracy 37%
• Support Vector Machine 12%

Psychology

• Alzheimer's Disease 100%
• Hippocampus 33%
• Mild Cognitive Impairment 100%
• Neuroimaging 66%