Enhancing self-management in type 1 diabetes with wearables and deep learning.

Zhu, Taiyu; Uduku, Chukwuma; Li, Kezhi; Herrero, Pau; Oliver, Nick; Georgiou, Pantelis

Zhu, Taiyu; Uduku, Chukwuma; Li, Kezhi; Herrero, Pau; Oliver, Nick; Georgiou, Pantelis.

Afiliação

Zhu T; Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, UK. taiyu.zhu17@imperial.ac.uk.
Uduku C; Division of Diabetes, Endocrinology and Metabolism, Faculty of Medicine, Imperial College London, London, UK.
Li K; Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, UK. ken.li@ucl.ac.uk.
Herrero P; Institute of Health Informatics, University College London, London, UK. ken.li@ucl.ac.uk.
Oliver N; Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, UK.
Georgiou P; Division of Diabetes, Endocrinology and Metabolism, Faculty of Medicine, Imperial College London, London, UK.

NPJ Digit Med ; 5(1): 78, 2022 Jun 27.

Article em En | MEDLINE | ID: mdl-35760819

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: NPJ Digit Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

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