Crossmark

Explainable machine learning model for prediction of 28-day all-cause mortality in immunocompromised patients in the intensive care unit: a retrospective cohort study based on MIMIC-IV database

Crossref DOI link: https://doi.org/10.1186/s40001-025-02622-3

Published Online: 2025-05-03

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

Authors

Yu, Zhengqiu

Fang, Lexin

Ding, Yueping
License Information

Text and Data Mining valid from 2025-05-03

Version of Record valid from 2025-05-03
More Information

Article History

Received: 17 February 2025

Accepted: 21 April 2025

First Online: 3 May 2025

Declarations

:

: The study protocol was approved by the Institutional Review Board of MIT and Harvard Medical School. Given the retrospective nature of the study using the MIMIC-IV database, the requirement for informed consent was waived. The researchers obtained necessary permissions to access the MIMIC-IV database (certification numbers: 48061114, 38118593).

Document is current

Any future updates will be listed below