Prediction of diabetic kidney disease risk using machine learning models: A population-based cohort study of Asian adults

Prediction of diabetic kidney disease risk using machine learning models: A population-based cohort study of Asian adults

Background: Machine learning (ML) techniques improve disease prediction by identifying the most relevant features in multidimensional data. We compared the accuracy of ML algorithms for predicting incident diabetic kidney disease (DKD). Methods: We utilized longitudinal data from 1365 Chinese, Malay...

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Bibliographic Details
Main Authors: Charumathi Sabanayagam, Feng He, Simon Nusinovici, Jialiang Li, Cynthia Lim, Gavin Tan, Ching Yu Cheng
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2023-09-01
Series:eLife
Subjects:
DKD
elastic net
GBDT
incidence
metabolites
predictors
Online Access:https://elifesciences.org/articles/81878

Internet

https://elifesciences.org/articles/81878

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