Predicting chronic kidney disease progression with artificial intelligence.

Mario Arturo Isaza Ruget Nancy Yomayusa Camilo A GonzálezCatherine Alvarado HFabio A de Oro V Andrés Cely Jossie Murcia Abel E González-Vélez Adriana Robayo Claudia Carolina Colmenares Mejía Andrea Castillo María I Conde

Published in: BMC nephrology (2024)

The time-to-event model performed well in predicting the three outcomes of CKD progression at five years. This model can be useful for predicting the onset and time of occurrence of the outcomes of interest in the population with established CKD.

Keyphrases

chronic kidney disease
artificial intelligence
end stage renal disease
machine learning
big data
deep learning
risk assessment
type diabetes
metabolic syndrome
insulin resistance
peritoneal dialysis