A deep neural network application for improved prediction of HbA1c in type 1 diabetes

Zaitcev, A., Eissa, M.R., Hui, Z. et al. (3 more authors) (2020) A deep neural network application for improved prediction of HbA1c in type 1 diabetes. IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194

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Copyright, Publisher and Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Convolutional neural networks; diabetes; feature extraction; machine learning; regression analysis
Dates:
  • Published (online): 17 January 2020
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 Jan 2020 10:39
Last Modified: 23 Jan 2020 10:39
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/jbhi.2020.2967546

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