Data-Driven Carbohydrate Counting Accuracy Monitoring: A Personalized Approach-Reference-Cited by-同舟云学术

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Data-Driven Carbohydrate Counting Accuracy Monitoring: A Personalized Approach

Published:2022 Issue: Volume:204 Page:900-906
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Amorim Dbora,Miranda Francisco,Ferreira Lus,Abreu Carlos

Publisher

Elsevier BV

Subject

General Engineering

Reference36 articles.

1. Accuracy of Carbohydrate Counting in Adults;Meade;Clinical Diabetes,2016

2. One potato, two potato, assessing carbohydrate counting accuracy in adolescents with type 1 diabetes;M;Yearbook of Paediatric Endocrinology,2019

3. Lifestyle factors, self-management and patient empowerment in diabetes care;Lambrinou;European Journal of Preventive Cardiology,2019

4. Big Data Technologies: New Opportunities for Diabetes Management;Bellazzi;Journal of Diabetes Science and Technology,2015

5. Global Report on Diabetes,2016

Cited by 3 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. Artificial Intelligence and Machine Learning Technologies for Personalized Nutrition: A Review;Informatics;2024-08-28

2. 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

3. Personalized and context-aware decision support system for diabetes therapeutics;AIP Conference Proceedings;2024

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