Article

Development of Machine Learning Models to Predict Hypoglycemia and Hyperglycemia on Days of Hemodialysis in Patients with Diabetes based on Continuous Glucose Monitoring

2025-10-25

Abstract excerpt

<h4>Background/Objectives</h4> Patients with diabetes undergoing hemodialysis (HD) are at risk of asymptomatic hypo- and hypergly-cemia within 24 hours of dialysis. Continuous glucose monitoring (CGM) can improve glycemic control, and machine learning offers a promising approach to detect and predict glycemic excursions based on CGM data. This study aimed to develop machine learning models to predict substantial...

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Literature Corpus work: c6c512f3-ce59-575f-8dbf-8da2fce5a68b
DOI: 10.1101/2025.10.24.25338707

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