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

BACKGROUND: Artificial intelligence–enabled electronic health record (EHR) analysis can revolutionize medical practice from the diagnosis and prediction of complex diseases to making recommendations in patient care, especially for chronic conditions such as chronic kidney disease (CKD), which is one...

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Detalles Bibliográficos
Autores principales: Song, Xing, Waitman, Lemuel R, Yu, Alan SL, Robbins, David C, Hu, Yong, Liu, Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055762/
https://www.ncbi.nlm.nih.gov/pubmed/32012067
http://dx.doi.org/10.2196/15510

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055762/
https://www.ncbi.nlm.nih.gov/pubmed/32012067
http://dx.doi.org/10.2196/15510

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