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Machine learning-based predictive tools and nomogram for in-hospital mortality in critically ill cancer patients: development and external validation using retrospective cohorts

Crossref DOI link: https://doi.org/10.1186/s12911-025-03054-z

Published Online: 2025-07-04

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

Authors

Gu, Kaier

Lu, Saisai
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Text and Data Mining valid from 2025-07-04

Version of Record valid from 2025-07-04
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Article History

Received: 13 March 2025

Accepted: 2 June 2025

First Online: 4 July 2025

Declarations

:

: The research was carried out in accordance with the guidelines set forth in the Declaration of Helsinki. Approval for this study was obtained from the Ethics Committee at the First Affiliated Hospital of Wenzhou Medical University. This was a retrospective, observational cohort study, and the data had been anonymized and pooled prior to access and analysis. Therefore, the ethics committee waived the informed consent by all participants.

: Not applicable.

: The authors declare no competing interests.

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