Multi-Hour Blood Glucose Prediction in Type 1 Diabetes: A Patient-Specific Approach Using Shallow Neural Network Models
Journal Article
Overview
publication date
- December 1, 2020
has subject area
- Autoimmune Diseases - Diabetes Mellitus, Type 1
- Blood Glucose
- Computing Methodologies - Algorithms
- Computing Methodologies - Neural Networks, Computer
- Diagnostic Techniques and Procedures - Blood Glucose Self-Monitoring
- Diagnostic Techniques, Endocrine - Blood Glucose Self-Monitoring
- Endocrine System Diseases - Diabetes Mellitus, Type 1
- Glucose Metabolism Disorders - Diabetes Mellitus, Type 1
- Hormones, Hormone Substitutes, and Hormone Antagonists - Insulin
- Humans
- Hypoglycemic Agents
- Investigative Techniques - Blood Glucose Self-Monitoring
- Mathematical Concepts - Algorithms
- Mathematical Concepts - Neural Networks, Computer
- Monitoring, Physiologic - Blood Glucose Self-Monitoring
- Peptides - Insulin
- Therapeutics - Blood Glucose Self-Monitoring
has restriction
- closed
Date in CU Experts
- November 5, 2020 9:46 AM
Full Author List
- Kushner T; Breton MD; Sankaranarayanan S
author count
- 3
citation count
- 11
published in
Other Profiles
International Standard Serial Number (ISSN)
- 1520-9156
Electronic International Standard Serial Number (EISSN)
- 1557-8593
Digital Object Identifier (DOI)
Additional Document Info
start page
- 883
end page
- 891
volume
- 22
issue
- 12