Mahalanobis Metric-based Oversampling Technique for Parkinson's Disease Severity Assessment using Spatiotemporal Gait Parameters

INIS

• assessments 100%
• data 100%
• nervous system diseases 100%
• metrics 100%
• levels 60%
• size 40%
• accuracy 40%
• learning 40%
• interventions 20%
• prediction 20%
• classification 20%
• curves 20%
• detection 20%
• algorithms 20%
• randomness 20%
• forests 20%
• hybrids 20%
• datasets 20%

Mathematics

• Oversampling 100%
• Parkinson's Disease 100%
• Severity Assessment 100%
• Generalizability 20%
• Sample Size Determination 20%
• Statistical Analysis 20%
• Wilcoxon Signed-Rank Test 20%
• Levene Test 20%
• Data Sample 20%

Computer Science

• Disease Severity 100%
• Parkinson's Disease 100%
• Minority Class 40%
• Random Decision Forest 20%
• Ensemble Learning 20%
• Data Generation 20%
• Estimated Sample Size 20%
• Class Imbalance 20%
• Classification Accuracy 20%
• Hybrid Approach 20%
• Learning Curve 20%
• Generalizability 20%