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Updated: May 8, 2025

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预测COVID-19短期再感染的高风险因素在风湿病患者中:基于XGBoost算法的一个建模研究

Yao Liang1, Siwei Xie2, Xuqi Zheng1

  • 1Department of Rheumatology and Immunology, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Tianhe District, Guangzhou, China.

Journal of translational medicine
|December 24, 2024
PubMed
概括

机器学习模型预测了风湿性疾病患者的短期COVID-19再感染风险. 焦虑,疲劳和药物缓慢显著影响再感染的可能性,指导有针对性的预防策略.

关键词:
在 COVID-19 疫情中,机器学习 机器学习心理因素 心理因素复发性风湿症 复发性风湿症在SHAP分析中,我们分析了SHAP.短期再感染 短期的再感染在XGBoost上使用.

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