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Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation.

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第一作者： Bohan,Shi

第一单位： Actxa Pte Ltd, Singapore, Singapore.;Activate Interactive Pte Ltd, Singapore, Singapore.

作者： Bohan,Shi ^[1] ; Satvinder Singh,Dhaliwal ^[2] ; Marcus,Soo ^[3] ; Cheri,Chan ^[4] ; Jocelin,Wong ^[3] ; Natalie W C,Lam ^[5] ; Entong,Zhou ^[5] ; Vivien,Paitimusa ^[5] ; Kum Yin,Loke ^[5] ; Joel,Chin ^[5] ; Mei Tuan,Chua ^[4] ; Kathy Chiew Suan,Liaw ^[4] ; Amos W H,Lim ^[3] ; Fadil Fatin,Insyirah ^[4] ; Shih-Cheng,Yen ^[6] ; Arthur,Tay ^[7] ; Seng Bin,Ang ^[8]

作者单位： Actxa Pte Ltd, Singapore, Singapore.;Activate Interactive Pte Ltd, Singapore, Singapore. ^[1] Curtin Health Innovation Research Institute, Curtin University, Perth, Australia.;Faculty of Health Sciences, Curtin University, Perth, Australia.;Duke-NUS Graduate Medical School, National University of Singapore, Singapore, Singapore. ^[2] Actxa Pte Ltd, Singapore, Singapore. ^[3] KK Women's and Children's Hospital, Singapore, Singapore. ^[4] Activate Interactive Pte Ltd, Singapore, Singapore. ^[5] Innovation and Design Programme, Faculty of Engineering, National University of Singapore, Singapore, Singapore. ^[6] Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore. ^[7] Family Medicine Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore.;Menopause Unit, KK Women's and Children's Hospital, Singapore, Singapore. ^[8]

关键词 diabetes mellitus explainable artificial intelligence feature engineering machine learning photoplethysmography wearable sensor

DOI 10.2196/48340

PMID 38875549

发布时间 2024-06-18

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Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation.

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