Use Of Machine Learning Methodology To Find Predictors Of All-Cause Mortality In The Systolic Blood Pressure Intervention Trial (Sprint)
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY（2020）
摘要
SPRINT was conducted to identify whether a lower systolic blood pressure target (SBP u003c120 vs. u003c140 mm Hg) would reduce incidence of prospective cardiovascular events as well as death. We conducted secondary analyses to find baseline factors predictive of mortality, using random survival forests (RSF
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