Prediction of Interstitial Glucose Levels Through Wearable Sensors Using Machine Learning-Reference-Cited by-同舟云学术

Prediction of Interstitial Glucose Levels Through Wearable Sensors Using Machine Learning

Published:2023-12-04 Issue: Volume: Page:
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Container-title:2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
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Author:

Ali Haider¹,Madanian Samaneh²^ORCID,Malik Naveed³,White David⁴^ORCID,Russel Brian K²,Niazi Imran Khan⁵^ORCID

Affiliation:

1. Engineering, Computer and Mathematical Sciences, Auckland University of Technology. Chiropractic Research Center, New Zealand College of Chiropractic,Auckland,New Zealand

2. Engineering, Computer and Mathematical Sciences, Auckland University of Technology.,Auckland,New Zealand

3. Health & Rehabilitation Research Institute, AUT University. Chiropractic Research Center, New Zealand College of Chiropractic,Faculty of Health & Environmental Sciences,Auckland,New Zealand

4. Engineering, Computer and Mathematical Sciences, Auckland University of Technology.,Biodesign Lab,Auckland,New Zealand

5. Centre for Chiropractic Research, New Zealand College of Chiropractic

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10487636/10487139/10487681.pdf?arnumber=10487681

Reference33 articles.

1. Development of a Virtual Diabetes Register using Information Technology in New Zealand

2. The Cost-Effectiveness of Real-Time Continuous Glucose Monitoring (RT-CGM) in Type 2 Diabetes

3. Development of metabolic systems

4. Human Systems Biology and Metabolic Modelling: A Review—From Disease Metabolism to Precision Medicine

5. HbA1c: how do we measure it and what does it mean?

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