A machine learning model for predicting worsening renal function using one‐year time series data in patients with type 2 diabetes

A machine learning model for predicting worsening renal function using one‐year time series data in patients with type 2 diabetes

ABSTRACT Background and Aims To prevent end‐stage renal disease caused by diabetic kidney disease, we created a predictive model for high‐risk patients using machine learning. Methods and Results The reference point was the time at which each patient's estimated glomerular filtration rate (eGFR...

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Bibliographic Details
Main Authors: Mari Watanabe, Shu Meguro, Kaiken Kimura, Michiaki Furukoshi, Tsuyoshi Masuda, Makoto Enomoto, Hiroshi Itoh
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Journal of Diabetes Investigation
Subjects:
Diabetic nephropathies
Machine learning
Prognosis
Online Access:https://doi.org/10.1111/jdi.14309
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