TABLE 5.
Classification of clinical isolates based on ML-based AMCA method.
| Target | N | TP | TN a | FP | FN | SEN (%) | SPE (%) | Accuracy (CI) |
|---|---|---|---|---|---|---|---|---|
| blaIMP | 45 | 45 | 32 | 0 | 0 | 100.0 | 100.0 | 100.0% (95.32–100.00%) |
| blaKPC | 9 | 9 | 32 | 0 | 0 | 100.0 | 100.0 | 100.0% (91.40–100.00%) |
| blaNDM | 74 | 73 | 32 | 1 b | 0 | 100.0 | 96.97 | 99.06% (94.86–99.98%) |
| blaOXA-48 | 84 | 84 | 32 | 0 | 0 | 100.0 | 100.0 | 100.0% (96.87–100.00%) |
| blaVIM | 8 | 8 | 32 | 0 | 0 | 100.0 | 100.0 | 100.0% (91.19–100.00%) |
| blaOXA-48 and blaNDM | 1 | 1 | 32 | 0 | 0 | 100.0 | 100.0 | 100.0% (97.24–100.00) |
| Total | 221 | 220 | 32 | 1 | 0 | 100.0 | 96.97 | 99.60% (97.82 to 99.99%) |
Abbreviations-N, Number of samples; TP, True Positive; TN, True Negative; FP, False Positive; FN, False Negative; SEN, Sensitivity; SPE, Specificity; CI, Confidence Interval.
A total 32 negatives samples are considered across all the groups for sensitivity, specificity and accuracy calculation.
This isolate was misclassified as blaNDM, and blaKPC, double infection.