Skip to main content
. 2021 Nov 23;8:775299. doi: 10.3389/fmolb.2021.775299

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

A total 32 negatives samples are considered across all the groups for sensitivity, specificity and accuracy calculation.

b

This isolate was misclassified as blaNDM, and blaKPC, double infection.