Crossmark

Risk stratification and data-driven phenotyping of peripherally inserted central catheter-related bloodstream infection: an explainable machine learning analysis of a large critical care cohort

Crossref DOI link: https://doi.org/10.1186/s12911-026-03419-y

Published Online: 2026-03-02

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

Authors

Liu, Yujia

Cong, Chao

Cheng, Dongsheng
License Information

Text and Data Mining valid from 2026-03-02

Accepted Manuscript valid from 2026-03-02
More Information

Article History

Received: 16 June 2025

Accepted: 26 February 2026

First Online: 2 March 2026

Declarations

:

: This study utilized de-identified data from the MIMIC-IV database. Ethical approval for the MIMIC-IV project was granted by the Institutional Review Boards of the Massachusetts Institute of Technology and Beth Israel Deaconess Medical Center. The requirement for individual informed consent was waived due to the retrospective nature of the study and the use of anonymized data. All data access and usage complied with the database’s protocols.

: Not applicable.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below