Table 3.
Survival analysis performance (Ctd-index) on the OneFlorida+ cohort test set
| Task: Ischemic | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Models | 1-M | 2-M | 3-M | 6-M | 9-M | 12-M | ||||||
| Ctd-indexa | p-valueb | Ctd-index | p-value | Ctd-index | p-value | Ctd-index | p-value | Ctd-index | p-value | Ctd-index | p-value | |
| DeepSurv | 0.72 (0.57–0.84) | 0.118 | 0.69 (0.66–0.72) | <0.001 | 0.71 (0.69–0.74) | <0.001 | 0.70 (0.67–0.72) | <0.001 | 0.685 (0.67–0.70) | <0.001 | 0.678 (0.66–0.70) | <0.001 |
| DeepHit | 0.75 (0.62–0.85) | 0.108 | 0.74 (0.72–0.77) | 0.004 | 0.74 (0.72–0.77) | <0.001 | 0.75 (0.73–0.76) | <0.001 | 0.73 (0.71–0.75) | <0.001 | 0.72 (0.71–0.74) | <0.001 |
| Transformer-DAPT | 0.84 (0.74–0.92) | Reference | 0.77 (0.75–0.79) | Reference | 0.77 (0.76–0.79) | Reference | 0.77 (0.76–0.79) | Reference | 0.75 (0.74–0.77) | Reference | 0.74 (0.73–0.76) | Reference |
| Task: Bleeding | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Models | 1-M | 2-M | 3-M | 6-M | 9-M | 12-M | ||||||
| Ctd-indexa | p-valueb | Ctd-index | p-value | Ctd-index | p-value | Ctd-index | p-value | Ctd-index | p-value | Ctd-index | p-value | |
| DeepSurv | 0.79 (0.65–0.89) | 0.424 | 0.71 (0.67–0.76) | <0.001 | 0.72 (0.69–0.75) | <0.001 | 0.72 (0.69–0.74) | <0.001 | 0.70 (0.68–0.73) | <0.001 | 0.70 (0.68–0.72) | <0.001 |
| DeepHit | 0.80 (0.72–0.88) | 0.484 | 0.75 (0.71–0.79) | 0.020 | 0.74 (0.71–0.77) | <0.001 | 0.75 (0.73–0.77) | <0.001 | 0.72 (0.70–0.74) | <0.001 | 0.71 (0.69–0.73) | <0.001 |
| Transformer-DAPT | 0.83 (0.74–0.89) | Reference | 0.79 (0.76–0.83) | Reference | 0.79 (0.76–0.81) | Reference | 0.79 (0.76–0.81) | Reference | 0.76 (0.74–0.78) | Reference | 0.75 (0.74–0.77) | Reference |
Ctd-index, time-dependent concordance index.
aThe model performance (Ctd-index) was calculated by employing bootstrapping on the test dataset.
bp-values represent statistical comparison between each model and the reference model (Transformer-DAPT), determined using bootstrap-based statistical testing with 1000 resamples. Lower p-values indicate significant performance differences compared with the reference model.