Translational technology in type 1 diabetes to help optimise glycaemic control and sustain behaviour change

Eissa, Mohammad Rahman ORCID: https://orcid.org/0000-0002-5584-5815 (2022) Translational technology in type 1 diabetes to help optimise glycaemic control and sustain behaviour change. PhD thesis, University of Sheffield.

Metadata

Supervisors: Mohammed, Benaissa and Jackie, Elliott
Keywords: diabetes, artificial intelligence, machine learning, behavioural change, telemedicine, telehealth
Awarding institution: University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Electronic and Electrical Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Medicine (Sheffield)
Depositing User: Dr Mohammad Rahman Eissa
Date Deposited: 03 Feb 2023 10:28
Last Modified: 03 Feb 2023 10:28
Open Archives Initiative ID (OAI ID):

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