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Updated: Jun 1, 2025

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传统的后勤回归和机器学习之间的比较,用于预测成人败血症患者的死亡率

Hongsheng Wu1, Biling Liao1, Tengfei Ji1

  • 1Hepatobiliary Pancreatic Surgery Department, Huadu District People's Hospital of Guangzhou, Guangzhou, China.

Frontiers in medicine
|January 21, 2025
PubMed
概括

机器学习,特别是随机森林 (RF) 模型,在预测败血症死亡率方面明显优于传统的后勤回归. 这一进步提供了改善的临床监测和患者的结果.

关键词:
大人的败血症.逻辑回归的逻辑回归方法机器学习是机器学习.死亡率 死亡率随机的森林随机的森林

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