A simple machine learning model for the prediction of acute kidney injury following noncardiac surgery in geriatric patients: a prospective cohort study
Abstract Background Surgery in geriatric patients often poses risk of major postoperative complications. Acute kidney injury (AKI) is a common complication following noncardiac surgery and is associated with increased mortality. Early identification of geriatric patients at high risk of AKI could fa...
| Published in: | BMC Geriatrics |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-06-01
|
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12877-024-05148-1 |
