Table 5 Chi square test for the accuracy of predicting stem of AI method
Factors | Subgroup | N | Inaccurate (n = 17) | Accuracy (n = 42) | Chi-square | P value |
|---|---|---|---|---|---|---|
Diagnosis (%) | DDH | 16 | 8 (50.00%) | 8 (50.00%) | 3.492 | 0.062 |
Non-DDH | 43 | 9 (20.93%) | 34 (79.07%) | Â | Â | |
Sex (%) | Female | 25 | 8 (32.00%) | 17 (68.00%) | 0.215 | 0.643 |
Male | 34 | 9 (26.47%) | 25 (73.53%) | Â | Â | |
BMI (%) | BMI (< 18.5) | 6 | 2 (33.33%) | 4 (66.67%) | 1.317 | 0.725 |
BMI [18.5–23.9] | 33 | 11 (33.33%) | 22 (66.67%) |  |  | |
BMI [24–27.9] | 13 | 3 (23.08%) | 10 (76.92%) |  |  | |
BMI (≥ 28) | 7 | 1 (14.29%) | 6 (85.71%) |  |  |