模型 | 分类级别 | Accuracy | Precision | Recall | F1 |
Smigiel et al. [14] | sub diagnosis | 0.698 | 0.355 | 0.339 | 0.332 |
Smigiel et al. [15] | 0.685 | - | - | 0.345 | |
Palczynski [16] | 0.671 | - | - | 0.324 | |
Jyotishi [17] | 0.541 | - | - | 0.460 | |
Proposed model | 0.727 | 0.479 | 0.580 | 0.482 | |
Smigiel et al. [14] | Super diagnosis | 0.765 | 0.714 | 0.662 | 0.680 |
Smigiel et al. [15] | 0.763 | - | - | 0.683 | |
Palczynski [16] | 0.790 | - | - | 0.717 | |
Jyotishi [17] | 0.627 | - | - | 0.736 | |
Proposed model | 0.902 | 0.783 | 0.732 | 0.754 |