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Published in 2020 at "Biostatistics"
DOI: 10.1093/biostatistics/kxaa023
Abstract: We introduce a multilevel functional Beta model to quantify the blood glucose levels measured by continuous glucose monitors for multiple days in study participants with type 2 diabetes mellitus. The model estimates the subject-specific marginal…
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Keywords:
data sleep;
cgm data;
monitoring cgm;
modeling continuous ... See more keywords
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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3175928
Abstract: The objective of this study is to propose MD-VAE: a multi-task disentangled variational autoencoders (VAE) for exploring characteristics of latent representations (LR) and exploiting LR for diverse tasks including glucose forecasting, event detection, and temporal…
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Keywords:
cgm data;
disentangled autoencoder;
task disentangled;
glucose dynamics ... See more keywords
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Published in 2019 at "Diabetic Medicine"
DOI: 10.1111/dme.13944
Abstract: Assessment of glycaemic outcomes in the management of Type 1 and Type 2 diabetes has been revolutionized in the past decade with the increasing availability of accurate, user‐friendly continuous glucose monitoring (CGM). This advancement has…
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Keywords:
cgm data;
interpretation;
hba1c;
glucose monitoring ... See more keywords
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Published in 2021 at "Journal of Diabetes Science and Technology"
DOI: 10.1177/19322968211009538
Abstract: Previous studies showed that remote monitoring of continuous glucose monitoring (CGM) data mitigates hypoglycemia at diabetes camp.1 However, some camps are still reluctant to permit CGM use, discounting the lifesaving capacity of CGM and ignoring…
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Keywords:
cgm data;
centralized remote;
diabetes camp;
cgm ... See more keywords
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Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0216851
Abstract: Continuous glucose monitoring (CGM) is an essential part of diabetes care. Real-time CGM data are beneficial to patients for daily glucose management, and aggregate summary statistics of CGM measures are valuable to direct insulin dosing…
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Keywords:
package;
cgm data;
descriptive analysis;
continuous glucose ... See more keywords
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Published in 2019 at "Diabetes"
DOI: 10.2337/db19-960-p
Abstract: Expansion of continuous glucose monitor (CGM) use in type 1 diabetes (T1D) patients has not fully translated into personalized, timely glucose management. We propose a standardized approach based on individual CGM data to set patient-specific…
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Keywords:
patient specific;
cgm data;
personalized targets;
management ... See more keywords
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Published in 2020 at "Diabetes"
DOI: 10.2337/db20-863-p
Abstract: In adults without diabetes, the relationship between CGM derived glycemic variability and glycemic measures is unknown. We hypothesized that greater dysglycemia will be associated with greater 2 week glycemic variability. Methods: Subjects without self-reported diabetes…
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Keywords:
cgm data;
variability derived;
none;
glycemic variability ... See more keywords
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Published in 2021 at "Diabetes"
DOI: 10.2337/db21-622-p
Abstract: Real-time continuous glucose monitoring (CGM) systems allow users to take immediate action based on current glucose and its trajectory; retrospective review of CGM data permits behavior modification according to historic trends. Dexcom CGM Systems allow…
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Keywords:
cgm data;
time;
cgm;
engagement ... See more keywords