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Updated: Jul 4, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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对可解释组合学习和后勤回归的比较研究,用于预测急诊室医院内死亡率

Zahra Rahmatinejad1, Toktam Dehghani1,2, Benyamin Hoseini3

  • 1Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Scientific reports
|February 9, 2024
PubMed
概括

组合学习 (EL) 模型和后勤回归 (LR) 在预测急诊室 (ED) 住院死亡率方面表现相似. 无论是EL还是LR都可作为有价值的查工具,用于识别有风险的患者.

关键词:
应急部门的紧急情况.组合模型组合模型住院死亡率 住院死亡率机器学习是机器学习.预测模型的预测模型.

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