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Machine learning for predicting device-associated infection and 30-day survival outcomes after invasive device procedure in intensive care unit patients

Crossref DOI link: https://doi.org/10.1038/s41598-024-74585-0

Published Online: 2024-10-10

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

Authors

Su, Xiang

Sun, Ling

Sun, Xiaogang

Zhao, Quanguo
Funding

Funding for this research was provided by:

National Institution of Hospital Administration’s Infection Prevention and Control Research Project in Medical Institutions in China (GY2023055, GY2023055, GY2023055)
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Text and Data Mining valid from 2024-10-10

Version of Record valid from 2024-10-10
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Article History

Received: 7 March 2024

Accepted: 27 September 2024

First Online: 10 October 2024

Change Date: 13 June 2025

Change Type: Correction

Change Details: A Correction to this paper has been published:

Change Details: https://doi.org/10.1038/s41598-025-02017-8

Declarations

:

: The authors declare no competing interests.

Updates are available Correction dated 2025-06-13

Click to view Correction: https://doi.org/10.1038/s41598-025-02017-8