Predicting mortality in intensive care unit patients with CAUTI using an interpretable machine learning model: a retrospective cohort study from MIMIC-IV database
The interpretable prediction model used in this study can help medical staff improve their ability to predict the risk of death in patients with CAUTI in ICU.
Authors
- Xueshu Yu (ORCID: https://orcid.org/0000-0003-3807-6070)
- Zhi Chen (ORCID: https://orcid.org/0000-0002-2754-7263)
- Longcha Liu
- Qixia Zhang (ORCID: https://orcid.org/0000-0002-2507-4773)
- Danwen Zhuang
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-09-09
- DOI
- https://doi.org/10.3389/fmed.2025.1665035
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Wenzhou Municipal Science and Technology Bureau