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Updated: Sep 18, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

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使用基于XGBoost的评分系统进行ICU死亡率预测:发展中国家的一项研究

Reema Karasneh1, Sayer Al-Azzam2, Karem H Alzoubi3,4

  • 1Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan.

Reviews on recent clinical trials
|June 20, 2025
PubMed
概括

这项研究开发了一种XGBoost模型,用于约旦的重症监护室 (ICU) 死亡率预测. 该模型实现了高准确性,确定住院,白蛋白和尿素水平作为关键预测指标.

关键词:
在ICU中,医生会对患者进行治疗.基于XGBoost的模型核心系统. 核心系统.机器学习是机器学习.死亡率预测死亡率预测

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