Table 4.
Machine learning analysis results (Test set and Real-world validation data results).
AMX | CTD | COX | MERO | MOX | |
---|---|---|---|---|---|
Test set results | |||||
ML | |||||
Accuracy (%) | 98.8 | 98.9 | 99.0 | 98.7 | 98.7 |
Precision (%) | 98.5 | 99.2 | 99.3 | 98.9 | 98.9 |
Recall (%) | 98.2 | 99.3 | 99.4 | 99.0 | 99.1 |
F1 score (%) | 98.3 | 99.3 | 99.3 | 99.0 | 99.0 |
Real world validation data results | |||||
ML (CDSS) | |||||
Accuracy (%) | 96.2 | 84.1 | 90.4 | 83.1 | 88.5 |
Precision (%) | 82.4 | 85.5 | 93.8 | 86.5 | 93.4 |
Recall (%) | 82.4 | 87.7 | 95.8 | 86.5 | 89.5 |
F1score (%) | 82.4 | 86.6 | 94.8 | 86.5 | 91.4 |
PopPK | |||||
Accuracy (%) | 87.9 | 82.6 | 77.9 | 73.5 | 78.4 |
Precision (%) | 40.0 | 85.2 | 90.5 | 89.5 | 90.1 |
Recall (%) | 23.5 | 85.2 | 80.7 | 65.4 | 76.8 |
F1score (%) | 29.6 | 85.2 | 85.4 | 75.6 | 83.0 |
AMX: amoxicillin; CTD: ceftazidime; COX: cefotaxime, MERO: meropenem; MOX: latamoxef.