Research map / Probabilistic and scientific modeling / Molecules and proteins
Multitask Boosting for Survival Analysis with Competing Risks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| train all causes jointly (Gray's test split) instead of separately per cause (ablation) | SMTBoost · SEER CVD | C-index: 0.721 -> 0.766 | Helped |
| train all causes jointly instead of separately (ablation) | SMTBoost · SEER Breast Cancer | C-index: 0.795 -> 0.819 | Helped |
| train all causes jointly instead of separately (ablation) | SMTBoost · SEER Other | C-index: 0.660 -> 0.688 | Helped |
| train all causes jointly instead of separately (ablation) | SMTBoost · Synthetic T1 | C-index: 0.631 -> 0.664 | Helped |
| boosting to handle task imbalance (SMTBoost vs RSF) | tree ensembles for competing risks · SEER CVD (1.7% of events) | C-index: 0.722 -> 0.766 | Helped |
| re-balance by oversampling low-incidence instances (Weighted RSF vs RSF) | RSF · SEER and synthetic | C-index: 0.722 -> 0.730 (CVD); 0.789 -> 0.778 (Breast) | Mixed |
| SMTBoost versus linear proportional-hazards models on linear-effect task | SMTBoost · Synthetic T2 | C-index: 0.705 -> 0.721 | No clear effect |
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