Prediction of Nocturnal Hypoglycaemia in Adults with Type 1 Diabetes
using Machine Learning Classifiers
Abstract
1st dataset
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6-months randomized controlled, cross-over study
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37 participants wearing CGM sensors and using MDI regimen
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smartphone app where to record administered insulin and meal
macronutrient information
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diagnosed with T1D for more than 3 years
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2nd dataset
head-to-head glucose monitoring study, comparing CGM and flash glucose
monitoring
40 high- risk adult participants using MDI for their insulin
treatment
\tightlist
