Table 4 Diabetes risk score card
From: Machine learning for predicting diabetes risk in western China adults
Feature | Threshold | Score | Feature | Threshold | Score |
|---|---|---|---|---|---|
Age | (-inf, 39.0] | 17.75 | CDA | No | 0.60 |
|  | (39.0, 46.0] | 6.39 |  | Yes | − 5.97 |
| Â | (46.0, 50.0] | 2.86 | Ethnicity | Uyghur | 1.65 |
|  | (50.0, 56.0] | − 1.02 |  | Han | − 3.32 |
|  | (56.0, inf] | − 5.28 |  | Kazak | 7.52 |
FGB | (-inf, 5.3] | 11.04 |  | Hui | − 3.58 |
| Â | (5.3, 5.6] | 1.69 | Â | Khalkha | 9.33 |
|  | (5.6, 5.8] | − 4.56 |  | Mongol | 5.54 |
|  | (5.8, 6.1] | − 9.43 |  | Other | − 0.51 |
|  | (6.1, 6.43] | − 15.07 | WC | (-inf, 82.0] | 2.13 |
|  | (6.43, inf] | − 11.60 |  | (82.0, 90.0] | 0.17 |
BMI | (-inf, 20.4] | 1.87 |  | (90.0, 102.0] | − 1.23 |
|  | (20.4, 22.86] | 1.08 |  | (102.0, inf] | − 2.55 |
| Â | (22.86, 24.28] | 0.37 | TG | (-inf, 0.62] | 3.84 |
|  | (24.28, 26.48] | − 0.20 |  | (0.62, 1.01] | 1.95 |
|  | (26.48, inf] | − 0.74 |  | (1.01, 1.34] | 0.69 |
HTN | No | 6.26 |  | (1.34, 1.6] | − 0.62 |
|  | Yes | − 8.90 |  | (1.6, inf] | − 2.41 |