Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study.
Journal:
The Lancet. Digital health
PMID:
34756569
Abstract
BACKGROUND: Kidney allograft failure is a common cause of end-stage renal disease. We aimed to develop a dynamic artificial intelligence approach to enhance risk stratification for kidney transplant recipients by generating continuously refined predictions of survival using updates of clinical data.
Authors
Keywords
Adult
Allografts
Area Under Curve
Artificial Intelligence
Bayes Theorem
Female
Glomerular Filtration Rate
Humans
Kidney
Kidney Transplantation
Male
Middle Aged
Models, Biological
Postoperative Complications
Prognosis
Proteinuria
Renal Insufficiency
Reproducibility of Results
Risk Assessment
Transplant Recipients