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Updated: Jul 16, 2025

An R-Based Landscape Validation of a Competing Risk Model
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基于临床数据的XGBoost算法用于预测非补偿性肝硬化患者的感染风险:为期10年的 (2012-2021) 多中心回顾性病例控制研究

Jing Zheng1, Jianjun Li2, Zhengyu Zhang3

  • 1Operation Management Office, Affiliated Banan Hospital of Chongqing Medical University, Chongqing, 401320, China.

BMC gastroenterology
|September 13, 2023
PubMed
概括

这项研究使用XGBoost算法确定了不补偿性肝硬化 (DC) 患者感染的关键预测因子. 开发的模型准确地预测了感染风险,有助于在临床环境中早期识别.

关键词:
没有补偿的肝硬化.感染 感染 感染多中心的多中心.预测模型的预测模型.在XGBoost算法中,

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