Meal and Physical Activity Detection from Free-living Data for Discovering Disturbance Patterns to Glucose Levels in People with Diabetes.

Askari, Mohammad Reza; Rashid, Mudassir; Sun, Xiaoyu; Sevil, Mert; Shahidehpour, Andrew; Kawaji, Keigo; Cinar, Ali

Askari, Mohammad Reza; Rashid, Mudassir; Sun, Xiaoyu; Sevil, Mert; Shahidehpour, Andrew; Kawaji, Keigo; Cinar, Ali.

Afiliação

Askari MR; Department of Chemical and Biological Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, United States.
Rashid M; Department of Chemical and Biological Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, United States.
Sun X; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, United States.
Sevil M; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, United States.
Shahidehpour A; Department of Chemical and Biological Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, United States.
Kawaji K; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, United States.
Cinar A; Department of Chemical and Biological Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, United States.

BioMedInformatics ; 2(2): 297-317, 2022 Jun.

Article em En | MEDLINE | ID: mdl-36968645

Palavras-chave

Data Preprocessing; Event Detection; Outlier Removal; Recurrent Neural Networks; Type 1 Diabetes

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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