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Updated: Feb 5, 2026

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
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Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis

Published on: June 30, 2023

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应用XGBoost和逻辑回归来预测老年严重急性功能衰竭患者90天死亡率

Jinping Zeng1, Yiying Zhu1, Feng Ye1

  • 1Department of Epidemiology and Health Statistics, School of Public Health and Nursing, Hangzhou Normal University, Hangzhou, China.

Scientific reports
|February 3, 2026
PubMed
概括

XGBoost模型准确地预测了急性功能衰竭 (ARF) 的老年重症监护室 (ICU) 患者的90天死亡率,超过了传统的后勤回归. 该工具有助于为高风险患者提供个性化的预后和治疗计划.

关键词:
90天死亡率90天死亡率急性功能衰竭急性功能衰竭是什么后勤回归的逻辑回归老年人 这些老年人在XGBoost中使用.

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