Longitudinal Risk Prediction of Chronic Kidney Disease in Diabetic Patients Using a Temporal-Enhanced Gradient Boosting Machine: Retrospective Cohort Study.

Xing Song Lemuel Russell Waitman Alan S L Yu David C Robbins Yong Hu Mei Liu

Published in: JMIR medical informatics (2020)

Incorporation of temporal information in EHR data can significantly improve predictive model performance and will particularly benefit patients who follow-up with their physicians as recommended.

Keyphrases

chronic kidney disease
electronic health record
end stage renal disease
primary care
big data
cross sectional
healthcare
machine learning
data analysis