2026-10-11T02:45:41Z https://www.scidb.cn/oai

10.57760/sciencedb.34349 2026-01-12T17:35:04Z

2026-01-12 Decision Curve Analysis (DCA) for the nine predictive models doi:10.57760/sciencedb.34349 en 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. Machine learning; predictive model; Decision Curve Yuan Lianwen PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank