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Original paper

Diabetes prediction based on discrete and continuous mean amplitude of glycemic excursions using machine learning

Volume: 9, Issue: 6, Pages: 2619 - 2629
Published: Aug 1, 2020
Abstract
Chronic hyperglycemia and acute glucose fluctuations are the two main factors that trigger complications in diabetes mellitus (DM). Continuous and sustainable observation of these factors is significant to be done to reduce the potential of cardiovascular problems in the future by minimizing the occurrence of glycemic variability (GV). At present, observations on GV are based on the mean amplitude of glycemic excursion (MAGE), which is measured...
Paper Details
Title
Diabetes prediction based on discrete and continuous mean amplitude of glycemic excursions using machine learning
Published Date
Aug 1, 2020
Volume
9
Issue
6
Pages
2619 - 2629
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