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MIMIC-II results (full codes). The results of MultiResCNN are shown in means ± standard deviations.
| Model | AUC | F1 | P@8 | ||||
|---|---|---|---|---|---|---|---|
| Macro | Micro | Macro | Micro | ||||
| SVM (Perotte et al. 2013) | - | - | - | 0.293 | - | ||
| HA-GRU (Baumel et al. 2018) | - | - | - | 0.366 | - | ||
| CAML (Mullenbach et al. 2018) | 0.820 | 0.966 | 0.048 | 0.442 | 0.523 | ||
| DR-CAML (Mullenbach et al. 2018) | 0.826 | 0.966 | 0.049 | 0.457 | 0.515 | ||
|
| |||||||
| MultiResCNN | 0.850 | 0.968 | 0.052 | 0.464 | 0.544 | ||
| ±0.002 | ±0.001 | ±0.002 | ±0.002 | ±0.007 | |||
