Construction and evaluation of a mortality prediction model for patients with acute kidney injury undergoing continuous renal replacement therapy based on machine learning algorithms
Our study selected the optimal model and visualized it as a static and dynamic nomogram integrating clinical predictors, so that clinicians can personalized predict the in-hospital outcome of critically ill patients with AKI undergoing CRRT upon ICU admission.
Authors
- Jianhong Lu (ORCID: https://orcid.org/0000-0003-0120-7428)
- Xu Sun (ORCID: https://orcid.org/0000-0002-6102-6293)
- Yongbin Wang (ORCID: https://orcid.org/0000-0002-1370-8150)
- Lei Zhong (ORCID: https://orcid.org/0000-0002-0208-1823)
- Zhenzhen Yang
Institutions
- Zhejiang Chinese Medical University (CN)
- Huzhou Normal University (CN)
- Huzhou Central Hospital (CN)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2024-08-19
- DOI
- https://doi.org/10.1080/07853890.2024.2388709
- Citations
- 11
- Primary Topic
- Healthcare Systems and Public Health
- Type
- article
- Field-Weighted Citation Impact
- 4.25