Short-term prediction of future continuous glucose monitoring readings in type 1 diabetes: Development and validation of a neural network regression model-Reference-Cited by-同舟云学术

Short-term prediction of future continuous glucose monitoring readings in type 1 diabetes: Development and validation of a neural network regression model

Published:2021-07 Issue: Volume:151 Page:104472
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Cichosz Simon Lebech,Jensen Morten Hasselstrøm,Hejlesen Ole

Publisher

Elsevier BV

Subject

Health Informatics

Reference42 articles.

1. REPLACE-BG: a randomized trial comparing continuous glucose monitoring with and without routine blood glucose monitoring in adults with well-controlled type 1 diabetes;Aleppo;Diabetes Care,2017

2. Association of glycemic variability in type 1 diabetes with progression of microvascular outcomes in the diabetes control and complications trial;Fleischer;Diabetes Care,2017

3. Continuous glucose monitoring adds information beyond HbA1c in well-controlled diabetes patients with early cardiovascular autonomic neuropathy;Fleischer;J. Diabetes Complications,2017

4. Glycemic variability is associated with reduced cardiac autonomic modulation in women with type 2 diabetes;Fleischer;Diabetes Care,2015

5. Combining information of autonomic odulation and CGM measurements nables prediction and improves etection of spontaneous hypoglycemic vents;Cichosz;J. Diabetes Sci. Technol.,2015

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3. Continuous glucose monitoring data for artificial intelligence-based predictive glycemic event: A potential aspect for diabetic care;International Journal of Diabetes in Developing Countries;2024-05-24

4. Identification of individuals with diabetes who are eligible for continuous glucose monitoring forecasting;Diabetes & Metabolic Syndrome: Clinical Research & Reviews;2024-02

5. A Comparative Analysis of Machine Learning Models for the Detection of Undiagnosed Diabetes Patients;Diabetology;2024-01-03