Table 5.
Response of electrocardiographic artificial intelligence and Cox proportional hazards regression models to follow-up electrocardiograms
Scenarios | ECG time | TP | FP | TN | FN | Specificity | Sensitivity | Negative predictive value | Positive predictive value |
---|---|---|---|---|---|---|---|---|---|
1 | Baseline | 116 | 764 | 1819 | 2 | 0.7042 | 0.9831 | 0.9990 | 0.1318 |
Follow-up | 116 | 764 | 1819 | 2 | 0.7042 | 0.9831 | 0.9990 | 0.1318 | |
2 | Baseline | 108 | 515 | 2068 | 10 | 0.8006 | 0.9153 | 0.9952 | 0.1734 |
Follow-up | 116 | 528 | 2055 | 2 | 0.7956 | 0.9831 | 0.9990 | 0.1801 | |
3 | Baseline | 93 | 261 | 2322 | 25 | 0.8990 | 0.7881 | 0.9893 | 0.2627 |
Follow-up | 111 | 258 | 2325 | 7 | 0.9001 | 0.9407 | 0.9970 | 0.3008 | |
4 | Baseline | 77 | 127 | 2456 | 41 | 0.9508 | 0.6525 | 0.9836 | 0.3775 |
Follow-up | 95 | 123 | 2460 | 23 | 0.9524 | 0.8051 | 0.9907 | 0.4358 |
ECG, electrocardiogram; FN, false negative; FP, fasle positive; TN, true negative; TP, true positive.