A Random Forest Algorithm for Assessing Risk Factors Associated With Chronic Kidney Disease: Observational Study.

Pei Liu Yijun Liu Hao Liu Linping Xiong Changlin Mei Lei Yuan

Published in: Asian/Pacific Island nursing journal (2024)

Our findings reveal that the RF algorithm has significant predictive value for assessing risk factors associated with CKD and allows the screening of individuals with risk factors. This has crucial implications for early intervention and prevention of CKD.

Keyphrases

chronic kidney disease
end stage renal disease
risk factors
machine learning
deep learning
neural network
randomized controlled trial
climate change
genome wide
single cell
dna methylation