Corrigendum: Automatic inference of hypoglycemia causes in type 1 diabetes: a feasibility study.

Zaitcev, Aleksandr; Eissa, Mohammad R; Hui, Zheng; Good, Tim; Elliott, Jackie; Benaissa, Mohammed

Zaitcev, Aleksandr; Eissa, Mohammad R; Hui, Zheng; Good, Tim; Elliott, Jackie; Benaissa, Mohammed.

Afiliação

Zaitcev A; Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom.
Eissa MR; Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom.
Hui Z; Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom.
Good T; Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom.
Elliott J; Department of Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom.
Benaissa M; Department of Diabetes and Endocrinology, Sheffield Teaching Hospitals NHS FT, Sheffield, United Kingdom.

Front Clin Diabetes Healthc ; 4: 1227105, 2023.

Article em En | MEDLINE | ID: mdl-37351484

Palavras-chave

biomedical informatics; classification algorithms; exercise; hypoglycemia; machine learning; medical expert systems; physical activity; statistical analysis

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article