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Updated: May 9, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Published on: January 8, 2020

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可解释的机器学习模型用于预测重症监护病房中免疫功能受损患者28天全因死亡率:基于MIMIC-IV数据库的回顾性队列研究

Zhengqiu Yu1,2, Lexin Fang3, Yueping Ding4

  • 1School of Medicine, Xiamen University, 422 South Siming Road, Xiamen, 361005, Fujian, China.

European journal of medical research
|May 3, 2025
PubMed
概括

一种可解释的机器学习模型准确地预测了免疫功能低下的ICU患者的28天死亡率. 关键预测因素包括尿量,BUN和并发症,有助于临床决策.

关键词:
免疫力受损的人.在重症监护病房的重症监护病房.这就是MIMIC-IV.机器学习 机器学习预测死亡率的预测.在SHAP中,价值是SHAP值.

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