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Updated: Feb 5, 2026

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一个机器学习模型用于预测慢性乙型肝炎患者的完整病毒学反应,这些患者接受一线核胺类同类疗法

Xiaoqin Yuan1, Xinyi Xiang1, Hongqian Xu1

  • 1Department of Epidemiology, School of Public Health, Chongqing Medical University, Chongqing 400016, China.

Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology
|February 3, 2026
PubMed
概括

机器学习可以准确地预测慢性乙型肝炎 (CHB) 患者的完整病毒学反应 (CVR),这些患者接受核胺类类似物 (NA). 使用基线HBVDNA和HBeAg等因素的XGBoost模型实现了高预测性能.

关键词:
慢性乙型肝炎 慢性乙型肝炎完整的病毒学反应.机器学习是机器学习.核胺类同类 核胺类同类预测模型的预测模型.

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