Table 3 Quality of Evidence according to GRADE [18]
From: Machine learning methods in sport injury prediction and prevention: a systematic review
Imprecision (n < 300) | Risk of bias (NOS < 6) | Conclusion | |
|---|---|---|---|
Oliver et al | N (n = 355) | N = 8 | moderate-quality |
Ayala et al | Y (n = 96) | N = 7 | low-quality |
López-Valenciano et al | Y (n = 132) | N = 7 | low-quality |
Rommers et al | N (n = 734) | N = 7 | moderate-quality |
Rossi et al | Y (n = 26) | Y = 5 | very-low |
Carey et al | Y (n = 133) | Y = 5 | low-quality |
Ruddy et al | N (n = 362) | N = 8 | moderate-quality |
Thornton et al | Y (n = 25) | Y = 5 | very-low |
McCullagh & Whitfort | Y (n = 39) | N = 7 | very-low |
Rodas et al | N (n = 363) | N = 7 | moderate-quality |
Whiteside et al | Y (n = 113) | N = 7 | low-quality |