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Development and validation of a prospective study to predict the risk of readmission within 365 days of respiratory failure: based on a random survival forest algorithm combined with COX regression modeling

Crossref DOI link: https://doi.org/10.1186/s12890-024-02862-9

Published Online: 2024-02-14

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Liu, Zhongxiang

Sun, Zhixiao

Hu, Hang

Yin, Yuan

Zuo, Bingqing
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Text and Data Mining valid from 2024-02-14

Version of Record valid from 2024-02-14
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Article History

Received: 3 August 2023

Accepted: 11 January 2024

First Online: 14 February 2024

Declarations

:

: The authors declare no competing interests.

: This study was approved by the ethics committees of the First People’s Hospital of Yancheng (No.2020-K062) and the People’s Hospital of Jiangsu Province (No. 2021-SR-346). Participants from both hospitals provided written informed consent to support clinical research.

: Not applicable.

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