From: Predictive modeling in pediatric traumatic brain injury using machine learning
Traumatic brain injury (Cases) N = 39 | No traumatic brain injury (Controls) N = 156 | p-value | |
---|---|---|---|
Age mean (SD) | 8.11 (4.25) | 8.10 (4.21) | 0.991 |
Female (%) | 14 (36%) | 44 (28%) | 0.3472 |
Primary mechanism | <0.0012 | ||
Fall (%) | 19 (49%) | 110 (70%) | |
Road traffic accident (%) | 17 (44%) | 3 (2%) | |
Struck by projectile (%) | 0 (0%) | 3 (2%) | |
Non-accidental injury (%) | 2 (5%) | 9 (6%) | |
Others (%) | 1 (2%) | 31 (20%) | |
Primary mechanism among children ≤ 2 years old (N = 5 vs 20) | 0.0122 | ||
Fall (%) | 3 (60%) | 18 (90%) | |
Road traffic accident (%) | 2 (40%) | 0 (0%) | |
Struck by projectile (%) | 0 (0%) | 0 (0%) | |
Non-accidental injury (%) | 0 (0%) | 0 (0%) | |
Others (%) | 0 (0%) | 2 (10%) |