Causality analysis in type 1 diabetes mellitus with application to blood glucose level prediction.

Nemat, Hoda; Khadem, Heydar; Elliott, Jackie; Benaissa, Mohammed

Nemat, Hoda; Khadem, Heydar; Elliott, Jackie; Benaissa, Mohammed.

Afiliação

Nemat H; Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, S1 4DE, UK. Electronic address: hoda.nemat@sheffield.ac.uk.
Khadem H; Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, S1 4DE, UK. Electronic address: h.khadem@sheffield.ac.uk.
Elliott J; Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, UK; Sheffield Teaching Hospitals, Diabetes and Endocrine Centre, Northern General Hospital, Sheffield S5 7AU, UK. Electronic address: j.elliott@sheffield.ac.uk.
Benaissa M; Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, S1 4DE, UK. Electronic address: m.benaissa@sheffield.ac.uk.

Comput Biol Med ; 153: 106535, 2023 02.

Article em En | MEDLINE | ID: mdl-36640530

Assuntos

Diabetes Mellitus Tipo 1; Humanos; Glicemia/análise; Exercício Físico; Previsões; Automonitorização da Glicemia

Palavras-chave

Blood glucose level; Causality analysis; Deep learning; Diabetes mellitus; Time series forecasting

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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