Identifying Continuous Glucose Monitoring Data Using Machine Learning-Reference-Cited by-同舟云学术

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Identifying Continuous Glucose Monitoring Data Using Machine Learning

Published:2022-06-01 Issue:6 Volume:24 Page:403-408
ISSN:1520-9156
Container-title:Diabetes Technology & Therapeutics
language:en
Short-container-title:Diabetes Technology & Therapeutics

Author:

Herrero Pau¹^ORCID,Reddy Monika²^ORCID,Georgiou Pantelis¹,Oliver Nick S.²^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Centre for Bio-Inspired Technology, Imperial College London, London, United Kingdom.

2. Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine Imperial College, London, United Kingdom.

Publisher

Mary Ann Liebert Inc

Subject

Medical Laboratory Technology,Endocrinology,Endocrinology, Diabetes and Metabolism

Link

https://www.liebertpub.com/doi/pdf/10.1089/dia.2021.0498

Reference22 articles.

1. The challenges of cybersecurity in health care: the UK National Health Service as a case study

2. Continuous glucose monitoring: The achievement of 100 years of innovation in diabetes technology

3. Evolution of Do-It-Yourself Remote Monitoring Technology for Type 1 Diabetes

4. Emerging health data platforms: From individual control to collective data governance

5. REPLACE-BG: A Randomized Trial Comparing Continuous Glucose Monitoring With and Without Routine Blood Glucose Monitoring in Adults With Well-Controlled Type 1 Diabetes

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. Statistical Packages and Algorithms for the Analysis of Continuous Glucose Monitoring Data: A Systematic Review;Journal of Diabetes Science and Technology;2024-01-05

2. Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities;IEEE Reviews in Biomedical Engineering;2024

3. Encrypted Classification for Prevention of Adversarial Perturbation and Individual Identification in Health-Monitoring;2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM);2023-06-28

4. Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review;Diabetology & Metabolic Syndrome;2022-12-27

5. Artificial Neural Network-Assisted Wearable Flexible Sweat Patch for Drug Management in Parkinson’s Patients Based on Vacancy-Engineered Processing of g-C₃N₄;Analytical Chemistry;2022-12-16

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