Table 2 Pain type analysis.
From: Classification of musculoskeletal pain using machine learning
Pain type | Mean Occurrence | SD | Min | Max | Frequency (Prevent Activity) | Frequency (Occurs Last 7 Days) |
|---|---|---|---|---|---|---|
Neck pain | 0.65 | 0.23 | 0 | 1 | 0: 60%, 1: 40% | 0: 55%, 1: 45% |
Shoulder pain | 0.55 | 0.25 | 0 | 1 | 0: 65%, 1: 35% | 0: 60%, 1: 40% |
Elbow pain | 0.45 | 0.23 | 0 | 1 | 0: 70%, 1: 30% | 0: 65%, 1: 35% |
Wrist pain | 0.40 | 0.22 | 0 | 1 | 0: 75%, 1: 25% | 0: 70%, 1: 30% |
Thoracic spine pain | 0.50 | 0.24 | 0 | 1 | 0: 65%, 1: 35% | 0: 60%, 1: 40% |
Low back pain | 0.70 | 0.26 | 0 | 1 | 0: 50%, 1: 50% | 0: 45%, 1: 55% |
Hip pain | 0.35 | 0.20 | 0 | 1 | 0: 80%, 1: 20% | 0: 75%, 1: 25% |
Knee pain | 0.60 | 0.25 | 0 | 1 | 0: 55%, 1: 45% | 0: 50%, 1: 50% |
Ankle pain | 0.30 | 0.18 | 0 | 1 | 0: 85%, 1: 15% | 0: 80%, 1: 20% |
