Publications by authors named "Runtao Feng"
Article Synopsis
- Kidney transplantation is the best treatment for children with severe kidney disease, but delayed graft function (DGF) can harm long-term outcomes, especially in pediatric patients, prompting the need for better predictive models.
- This study analyzed data from 140 pediatric kidney transplant recipients and identified key factors associated with DGF, such as high-density lipoprotein cholesterol levels and ischemia times.
- A machine learning approach was used to develop a predictive model for DGF, achieving high accuracy and performance, which could assist clinicians in decision-making post-transplantation.
