Risk Prediction of Unplanned Extubation in Inpatients Using Random Forest and Logistic Regression Models
The random forest model outperforms the logistic regression model in predicting inpatient UEX events. However, the logistic regression model remains valuable for its ability to provide intuitive explanations of the results.
Authors
- Na Ye (ORCID: https://orcid.org/0000-0003-3612-1771)
- Akmal Ergashev (ORCID: https://orcid.org/0009-0005-8889-2158)
- Xueyan Li (ORCID: https://orcid.org/0000-0002-7753-8429)
- Bo Zhou (ORCID: https://orcid.org/0000-0002-2360-5016)
- Hongyi Mou (ORCID: https://orcid.org/0009-0003-2167-6165)
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
Publication Details
- Journal
- Journal of Patient Safety
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1097/pts.0000000000001365
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00