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Tree-based ensemble machine learning models in the prediction of acute respiratory distress syndrome following cardiac surgery: a multicenter cohort study

Crossref DOI link: https://doi.org/10.1186/s12967-024-05395-1

Published Online: 2024-08-15

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

Authors

Zhang, Hang http://orcid.org/0000-0002-6331-6649
Qian, Dewei

Zhang, Xiaomiao

Meng, Peize

Huang, Weiran

Gu, Tongtong

Fan, Yongliang

Zhang, Yi

Wang, Yuchen

Yu, Min

Yuan, Zhongxiang

Chen, Xin

Zhao, Qingnan

Ruan, Zheng
Funding

Funding for this research was provided by:

Fundamental Research Funds for the Central Universities (YG2024QNA30, YG2023LC08)

Clinical Research Plan of Shanghai Hospital Development Center (SHDC2020CR1021B)
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Text and Data Mining valid from 2024-08-15

Version of Record valid from 2024-08-15
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Article History

Received: 23 April 2024

Accepted: 12 June 2024

First Online: 15 August 2024

Declarations

:

: The study was reviewed and approved by the Ethics Committee of Shanghai General Hospital and Nanjing First Hospital Affiliated to Nanjing Medical University. The need for individual patient consent was waived.

: Not applicable.

: The authors declare that they have no competing interests.

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