Obesity is a worldwide epidemic that leads to several non-communicable illnesses,
including chronic kidney disease (CKD). Diet and lifestyle modifications have shown a …

Background: We aimed to develop and validate an automated machine learning (autoML)
prediction model for cardiac surgery-associated acute kidney injury (CSA-AKI). Methods …

Kidney transplant recipients face a high cardiovascular risk, which is a leading cause of
death in this patient group. This article proposes the application of clustering techniques and …

Distinct phenotypes of kidney transplant recipients aged 80 years or older in the USA by
machine learning consensus clustering - PMC Back to Top Skip to main content NIH NLM Logo …

Data suggest that long-term transplant outcomes among obese recipients are similar to
those among nonobese. Strategies to achieve pretransplant weight reduction and minimally …

Background and Objectives: Our study aimed to cluster dual kidney transplant recipients
using an unsupervised machine learning approach to characterize donors and recipients …

Obesity is a worldwide health problem with a rapidly rising incidence. In organ
transplantation, increasing numbers of patients with obesity accumulate on waiting lists and …

Kidney transplantation is an essential treatment option for individuals diagnosed with End-
stage renal disease (ESRD). Being able to predict the survival of the transplant and the …