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Keyphrases
Machine Learning
100%
Symptom Patterns
100%
Web Survey
100%
Degenerative Cervical Myelopathy
100%
Learning Patterns
100%
Clinical Features
88%
Female Participants
33%
Female-to-male
33%
Disease Severity
22%
Delayed Diagnosis
22%
Early Detection
11%
Clinically Significant
11%
Clustered Data
11%
Symptom Severity
11%
Symptomatology
11%
Clinical Significance
11%
Spinal Cord Injury
11%
3-group
11%
Demographic Information
11%
Heterogeneous Disease
11%
Machine Learning Techniques
11%
Spinal Cord Compression
11%
Presentation Time
11%
Biological Basis
11%
As(III)
11%
Upper Limb
11%
Neck Pain
11%
Patient-centered
11%
Response Group
11%
Pattern Recognition
11%
Optimal number
11%
Sensorimotor Impairments
11%
Bowel Dysfunction
11%
Presenting Complaints
11%
Patient-reported Experience
11%
Time to Presentation
11%
Ancillary Data
11%
Gait Disturbance
11%
K-means Clustering
11%
Lower Limb Gait
11%
Degenerative Pathology
11%
Bladder Dysfunction
11%
Biological Sex
11%
Diagnosis Information
11%
Euclidean Distance Measure
11%
Medicine and Dentistry
Cervical Myelopathy
100%
Clinical Feature
88%
Disease Severity
22%
Diseases
22%
Bladder
11%
Symptomatology
11%
Spinal Cord Injury
11%
Clinical Significance
11%
Spinal Cord Compression
11%
Lower Limb
11%
Rank Sum Test
11%
Upper Limb
11%
Neck Pain
11%
Pattern Recognition
11%
Gait
11%
Degenerative Pathology
11%
Nursing and Health Professions
Cervical Myelopathy
100%
Clinical Feature
88%
Disease Severity
22%
Diseases
22%
Spinal Cord Injury
11%
Neck Pain
11%
Symptomatology
11%
Spinal Cord Compression
11%
Rank Sum Test
11%
Data Quality
11%
Neuroscience
Spinal Cord Disease
100%
Spinal Cord Compression
11%
Spinal Cord Injury
11%
Gait
11%
Pattern Recognition
11%