Predicting Immunological Risk for Stage 1 and Stage 2 Diabetes Using a 1-Week CGM Home Test, Nocturnal Glucose Increments, and Standardized Liquid Mixed Meal Breakfasts, with Classification Enhanced by Machine Learning-Reference-Cited by-同舟云学术

Predicting Immunological Risk for Stage 1 and Stage 2 Diabetes Using a 1-Week CGM Home Test, Nocturnal Glucose Increments, and Standardized Liquid Mixed Meal Breakfasts, with Classification Enhanced by Machine Learning

Published:2023-09-01 Issue:9 Volume:25 Page:631-642
ISSN:1520-9156
Container-title:Diabetes Technology & Therapeutics
language:en
Short-container-title:Diabetes Technology & Therapeutics

Author:

Montaser Eslam¹^ORCID,Breton Marc D.¹^ORCID,Brown Sue A.¹²,DeBoer Mark D.¹³,Kovatchev Boris¹^ORCID,Farhy Leon S.¹²^ORCID

Affiliation:

1. Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, Virginia, USA.

2. Division of Endocrinology and Metabolism, Department of Medicine, School of Medicine, University of Virginia, Charlottesville, Virginia, USA.

3. Division of Pediatric Endocrinology, Department of Pediatrics, School of Medicine, University of Virginia, Charlottesville, Virginia, USA.

Publisher

Mary Ann Liebert Inc

Subject

Medical Laboratory Technology,Endocrinology,Endocrinology, Diabetes and Metabolism

Link

https://www.liebertpub.com/doi/pdf/10.1089/dia.2023.0064

Reference30 articles.

1. Staging Presymptomatic Type 1 Diabetes: A Scientific Statement of JDRF, the Endocrine Society, and the American Diabetes Association

2. Seroconversion to Multiple Islet Autoantibodies and Risk of Progression to Diabetes in Children

3. Defining Pathways for Development of Disease-Modifying Therapies in Children With Type 1 Diabetes: A Consensus Report

4. Reduced Prevalence of Diabetic Ketoacidosis at Diagnosis of Type 1 Diabetes in Young Children Participating in Longitudinal Follow-Up

5. Ketoacidosis at diagnosis of type 1 diabetes: Effect of prospective studies with newborn genetic screening and follow up of risk children

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting Type 2 Diabetes Metabolic Phenotypes Using Continuous Glucose Monitoring and a Machine Learning Framework;2024-07-22

2. Consensus Guidance for Monitoring Individuals With Islet Autoantibody–Positive Pre-Stage 3 Type 1 Diabetes;Diabetes Care;2024-06-24

3. Consensus guidance for monitoring individuals with islet autoantibody-positive pre-stage 3 type 1 diabetes;Diabetologia;2024-06-24

4. Novel Detection and Progression Markers for Diabetes Based on Continuous Glucose Monitoring Data Dynamics;The Journal of Clinical Endocrinology & Metabolism;2024-05-31

5. Predicting the Risk of Developing Type 1 Diabetes Using a One-Week Continuous Glucose Monitoring Home Test With Classification Enhanced by Machine-Learning: An Exploratory Study;Journal of Diabetes Science and Technology;2023-11-09