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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Detalles Bibliográficos
Autores principales: Sabanayagam, Charumathi, He, Feng, Nusinovici, Simon, Li, Jialiang, Lim, Cynthia, Tan, Gavin, Cheng, Ching Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Epidemiology and Global Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531395/
https://www.ncbi.nlm.nih.gov/pubmed/37706530
http://dx.doi.org/10.7554/eLife.81878

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531395/
https://www.ncbi.nlm.nih.gov/pubmed/37706530
http://dx.doi.org/10.7554/eLife.81878

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