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Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis.

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Title: Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis.
Authors: Zhao, Qianqian1,2,3 (AUTHOR), Li, Yijie1,2,3 (AUTHOR), Zhao, Chunliu4 (AUTHOR), Dong, Ran5 (AUTHOR), Tian, Jiaxin1,2,3 (AUTHOR), Zhang, Ze6 (AUTHOR), Huang, Lin1,2,3 (AUTHOR), Huang, Jingwen1,2,3 (AUTHOR), Yan, Junhai4 (AUTHOR), Yang, Zhitao7 (AUTHOR), Ruan, Jiangnan8 (AUTHOR), Wang, Ping8 (AUTHOR), Yu, Li5 (AUTHOR) 96778@tongji.edu.cn, Qu, Jieming1,2,3 (AUTHOR) mqu0906@163.com, Zhou, Min1,2,3 (AUTHOR) doctor_zhou_99@163.com
Source: Respiratory Research. 7/2/2025, Vol. 26 Issue 1, p1-10. 10p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 186339118
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  Data: Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis.
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  Data: <searchLink fieldCode="JN" term="%22Respiratory+Research%22">Respiratory Research</searchLink>. 7/2/2025, Vol. 26 Issue 1, p1-10. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186339118
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        Value: 10.1186/s12931-025-03305-7
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        Text: English
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              Text: 7/2/2025
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