Incident CVD within 4 years

XGBoost model predicts incident CVD within 4 years in silico (AUC 0.751 [95% CI 0.635-0.855]).

“The XGBoost model demonstrated superior performance for both males (AUC [95% confidence interval], 0.751 [0.635-0.855]”

In silicomalesn = 715

Sex-specific machine learning models for cardiovascular disease risk prediction in adults aged ≥ 80 years: insights from the Chinese longitudinal healthy longevity survey

BMC geriatrics·28 Nov 2025