Decision Curve Analysis (DCA) for the nine predictive models
收藏DataCite Commons2026-01-12 更新2026-05-05 收录
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资源简介：
Decision Curve Analysis evaluating the clinical net benefit of the nine models across different threshold probabilities. Training cohort: A: 1 year.B:3 years.C:5 years. Validation cohort: D:1 year. E:3 years. F: 5 years. The 'All' and 'None' lines represent the strategies of treating all patients or no patients, respectively. A model with a higher curve indicates greater clinical utility within a specific threshold range. Abbreviations：RSF: Random Survival Forest；GBM: Gradient Boosting Machine; CoxBoost: Cox regression with Gradient Boosting; SurvivalSVM:Survival Support Vector Machine; XGBoost: Extreme Gradient Boosting; SuperPC: Super Principal Component Regression; PLSR-Cox: Partial Least Squares Cox Regression.
提供机构：
Science Data Bank
创建时间：
2025-12-26
