Table 6.
Precision and recall of prediction models on data collected before and after hospital admission
| Data Collection Window | Classification Models | ||
|---|---|---|---|
| Random Forest(Precision/Recall) | AdaBoostM1 (Precision/Recall) | Logistic (Precision/Recall) | |
| [Admission_date, AKI_date-1] | 0.692/0.711 | 0.662 /0.736 | 0.704 / 0.711 |
| [Admission_date-1, AKI_date-1] | 0.675/0.695 | 0.661 / 0.698 | 0.690 / 0.686 |
| [Admission_date-7, AKI_date-1] | 0.679 / 0.688 | 0.660 / 0.694 | 0.689 / 0.691 |
| [Admission_date-15, AKI_date-1] | 0.671 / 0.685 | 0.666 / 0.693 | 0.690 / 0.692 |
| [Admission_date-30, AKI_date-1] | 0.675 / 0.689 | 0.664 / 0.694 | 0.690 / 0.692 |