Classification analysis of chronological age using brief resting electroencephalographic (EEG) recordings

Mathematics

• Support Vector Machine 100%
• Shrinkage 89%
• Feature Space 72%
• Logistic Regression 57%
• Principal Component Analysis 56%
• Electroencephalography 41%
• Classification Algorithm 38%
• Operator 37%
• Binary Classification 36%
• Power Spectral Density 35%
• Diminishing 33%
• Electrode 33%
• Performance 31%
• Children 28%
• Community 26%
• Trends 26%
• Model 8%

Engineering & Materials Science

• Support vector machines 63%
• Logistic regression 59%
• Principal component analysis 49%
• Power spectral density 30%
• Electroencephalography 25%
• Mathematical operators 24%
• Frequency bands 23%
• Electrodes 20%