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QU-GM: An IoT Based Glucose Monitoring System From Photople..:
Nazmul Islam Shuzan, Md
;
Hossain Chowdhury, Moajjem
;
Chowdhury, Muhammad E. H.
...
IEEE Access. 12 (2024) - p. 77774-77790 , 2024
Link:
https://doi.org/10.1109/access.2024.3404971
RT Journal T1
QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_access.2024.3404971&Exemplar=1&LAN=DE A1 Nazmul Islam Shuzan, Md A1 Hossain Chowdhury, Moajjem A1 Chowdhury, Muhammad E. H. A1 Abualsaud, Khalid A1 Yaacoub, Elias A1 Ahasan Atick Faisal, Md A1 Alshahwani, Mazun A1 Al Bordeni, Noora A1 Al-Kaabi, Fatima A1 Al-Mohannadi, Sara A1 Mahmud, Sakib A1 Zorba, Nizar PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 2169-3536 JF IEEE Access VO 12 SP 77774 OP 77790 LK http://dx.doi.org/https://doi.org/10.1109/access.2024.3404971 DO https://doi.org/10.1109/access.2024.3404971 SF ELIB - SuUB Bremen
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