Table 3. Risk factors for overt diabetes: matrix and results using learning machine technique.
| Modela | Age | CH | Family DM | ≥2 deliveries | Pr GDM | Pr macro | BMI cat | AUC | Precision | Recall | Folds |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | X | X | X | x | X | X | x | 0.594 | 0.621 | 0.667 | 2 |
| 2 | X | X | X | X | x | 0.581 | 0.615 | 0.656 | 2 | ||
| 3 | x | X | X | x | X | X | x | 0.576 | 0.622 | 0.658 | 2 |
Model AUC: area under the receiver-operating curve; BMI cat: body mass index categories (normal BMI, overweight, obesity); CH: previous chronic hypertension; DM: diabetes; precision: positive predictive value; Pr GDM: previous gestational diabetes; Prv macro: previous macrosomia; recall: sensitivity.
Model 1 includes all risk factors (age - continuous, skin color, schooling, smoking, family DM, CH, ≥2 deliveries, previous miscarriage, Pr GDM, Pr macrosomia, BMI categories).
Model 2 includes the five items of ADA's risk questionnaire (age - continuous, CH, family DM, Pr GDM, BMI categories).
Model 3 includes the five items of ADA's risk questionnaire (age - continuous, CH, family DM, Pr GDM, BMI categories) + ≥2 deliveries + previous macrosomia.