Open access
Oct 2026
Leveraging Machine Learning Methods to Predict Post-Transplant Diabetes in Solid Organ Transplant Recipients
Post-transplant diabetes mellitus (PTDM) is a common complication following solid organ transplantation and is associated with increased morbidity and mortality. This study aimed to identify both generalizable and solid organ-specific predictors of PTDM with machine learning methods. In this study, we used...
Rhea Varghese, Ying-Ji Sun, Saba Maleki et al.
· Journal of the Endocrine Soc... · 0 citations