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整合CT放射学和临床特征,使用机器学习来预测COVID后肺纤维化

Qianqian Zhao1,2,3, Yijie Li1,2,3, Chunliu Zhao4

  • 1Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Ruijin No.2 Road, Shanghai, 200025, China.

Respiratory research
|July 3, 2025
PubMed
概括

整合定量CT放射学和临床数据的机器学习模型可以预测COVID-19患者的肺纤维化. 这种方法有助于早期评估COVID-19后肺纤维化 (PCPF) 的风险.

关键词:
机器学习是机器学习.后急性COVID-19后续影响肺部纤维化 肺部纤维化量化CT CT 是一个量化CT.无线电学 (Radiomics) 是一种放射学.

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