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Explainable machine learning for predicting mechanical ventilation in Alzheimer’s patients with pneumonia: a SHAP-guided XGBoost nomogram based on MIMIC-IV

Crossref DOI link: https://doi.org/10.1038/s41598-026-48214-x

Published Online: 2026-04-13

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

Authors

Liu, Xuhui

Wang, Xujie

Xie, Rongfei

Liu, Zhaohui

Wang, Biyun

Zhai, Honglin
Funding

Funding for this research was provided by:

Qinghai University (Project No. 2025-GMKY-14)
License Information

Text and Data Mining valid from 2026-04-13

Accepted Manuscript valid from 2026-04-13
More Information

Article History

Received: 18 October 2025

Accepted: 7 April 2026

First Online: 13 April 2026

Declarations

:

: The authors declare that they have no competing interests or financial relationships that could be perceived as potential conflicts of interest regarding this research.

: This study utilized data from the publicly available MIMIC-IV database, which contains de-identified health information. As such, the use of this dataset is exempt from institutional review board (IRB) approval and individual informed consent in accordance with applicable guidelines and regulations. Access to the MIMIC-IV database was granted to one author (Xujie Wang) after completion of the Collaborative Institutional Training Initiative (CITI) program (Certification ID: 13931651).

: Not applicable. This study used de-identified data from the MIMIC-IV database, and no individual patient data or images are reported.

: Not applicable.

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