Table 6.
Reference | SEN (%) | PPV (%) | F1 (%) | Notes |
---|---|---|---|---|
| ||||
de Chazal et al. [Table 8, 15] | 77.7 | 81.6 | 79.6 | Multi-class, multi-lead |
Llamedo & Martinez [Table 6, 16] | 82.9 | 88.0 | 85.4 | Multi-lead, multi-class |
Llamedo & Martinez [Discussion, 17] | 92.2 | 94.8 | 93.5 | Expert-assisted, multi-lead, multi-class |
Oster et al. [Table 4, 34] | 92.7 | 96.2 | 94.5 | Expert-assisted, multi-lead |
Alfaras et al. [Table 7, 23] | 92.7 | 95.7 | 94.2 | |
Ortin et al. [Table 4, 39] | 95.3 | 88.8 | 91.9 | Augmented training database, validated on DS1 & DS2 |
Qurraie & Afkhami [Table 4, 35] | 95.4 | 94.1 | 94.8 | Multi-class |
This work (Classifier1) | 93.8 | 94.9 | 94.4 |
Note: The computational time is discussed in the Comparison with Previous Results in the Discussion section. SEN = sensitivity; PPV = positive predictive value; F1 = F1 score.