Table 4 Chi square test for the accuracy of predicting cup of AI method
Factors | Subgroup | N | Inaccurate (n = 15) | Accuracy (n = 44) | Chi-square | P value |
|---|---|---|---|---|---|---|
Diagnosis (%) | DDH | 16 | 8 (50.00%) | 8 (50.00%) | 5.328 | 0.021 |
Non-DDH | 43 | 7 (16.28%) | 36 (83.72%) | Â | Â | |
Sex (%) | Female | 25 | 6 (24.00%) | 19 (76.00%) | 0.046 | 0.829 |
Male | 34 | 9 (26.47%) | 25 (73.53%) | Â | Â | |
BMI (%) | BMI (< 18.5) | 6 | 1 (16.67%) | 5 (83.33%) | 1.869 | 0.600 |
BMI [18.5–23.9] | 33 | 7 (21.21%) | 26 (78.79%) |  |  | |
BMI [24–27.9] | 13 | 4 (30.77%) | 9 (69.23%) |  |  | |
BMI (≥ 28) | 7 | 3 (42.86%) | 4 (57.14%) |  |  |