Data-driven blood glucose level prediction in type 1 diabetes: a comprehensive comparative analysis

Nemat, H., Khadem, H., Elliott, J. et al. (1 more author) (2024) Data-driven blood glucose level prediction in type 1 diabetes: a comprehensive comparative analysis. Scientific Reports, 14 (1). 21863. ISSN 2045-2322

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Nemat, H.
  • Khadem, H.
  • Elliott, J.
  • Benaissa, M.
Copyright, Publisher and Additional Information:

© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Biomedical engineering; Computer science
Dates:
  • Published: 19 September 2024
  • Published (online): 19 September 2024
  • Accepted: 14 August 2024
  • Submitted: 23 November 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 Sep 2024 13:34
Last Modified: 23 Sep 2024 13:34
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1038/s41598-024-70277-x
Open Archives Initiative ID (OAI ID):

Export

Statistics