Prediction of lower limb compensation for adult degenerative spine patients using spinopelvic parameters: a machine learning approach

Keyphrases

• Knee Flexion 100%
• Machine Learning Approach 100%
• Lower Limb 100%
• Spinopelvic Parameters 100%
• Degenerative Spine Disease 100%
• Spinal Pathology 50%
• Quantitative Methods 50%
• Quality of Life 25%
• Support Vector Machine 25%
• Machine Learning 25%
• Radiograph 25%
• Knee 25%
• Classification Methods 25%
• Well-being 25%
• Strong Correlation 25%
• Alignment Measurement 25%
• Predictive Ability 25%
• Health-related Quality of Life 25%
• Adult Spinal Deformity 25%
• EOS Imaging 25%
• Disc Disease 25%
• Spinal Stenosis 25%
• Surgical Fusion 25%
• Compensatory Mechanisms 25%
• Predictive Model 25%
• Good Performance 25%
• Lumbar Degenerative Disease 25%
• Homogeneous Database 25%
• Multicenter Cohort Study 25%
• Spinopelvic 25%
• Degenerative Pathology 25%
• Partial Least Squares Regression 25%
• Pelvic Retroversion 25%
• Supervised Machine Learning Classification 25%
• Thoracic Kyphosis 25%
• Categorical Methods 25%

Nursing and Health Professions

• Imaging 100%
• Diseases 100%
• Support Vector Machine 100%
• Spine Malformation 100%
• Supervised Machine Learning 100%
• Quality of Life 100%
• Predictive Model 100%
• Partial Least Squares Regression 100%
• Vertebral Canal Stenosis 100%

Medicine and Dentistry

• Knee Function 100%
• Lower Limb 100%
• Spinal Pathology 50%
• Pelvis 25%
• Diseases 25%
• Quality of Life 25%
• Retrospective Study 25%
• Knee 25%
• Adult Spine Deformity 25%
• Degenerative Pathology 25%
• Partial Least Squares Regression 25%
• Spinal Stenosis 25%