Machine learning-based prediction of acute kidney injury following pediatric cardiac surgery: model development and validation study

HIGHLIGHTS

• who: Unknown from the Department of Nephrology, The Second Xiangya Hospital of Central South University, China have published the research work: Machine Learning-Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study, in the Journal: (JOURNAL)
• what: The study aims to develop and validate machine learning models to predict the development of CSA-AKI in the pediatric population. The study shows that the XGBoost model combining the preoperative and intraoperative variables achieved better predictive performance than that with the preoperative variables J Med Internet Res 2023 | vol.
•  

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.