Decision Curve Analysis (DCA) for the nine predictive models
收藏科学数据银行2025-12-25 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=96fbfe4356f744988316b1a110f3ed56
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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：
Central South University
创建时间：
2025-12-25
