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dc.contributor.authorMijwil, Maad M.
dc.contributor.authorBala, Indu
dc.contributor.authorAli, Guma
dc.contributor.authorAljanabi, Mohammad
dc.contributor.authorAbotaleb, Mostafa
dc.contributor.authorDoshi, Ruchi
dc.contributor.authorHiran, Kamal Kant
dc.contributor.authorEl-Kenawy, El-Sayed M.
dc.date.accessioned2024-07-03T06:53:23Z
dc.date.available2024-07-03T06:53:23Z
dc.date.issued2024
dc.identifier.citationMijwil, M. M., Bala, I., Guma, A., Aljanabi, M., Abotaleb, M., Doshi, R., ... & El-Kenawy, E. S. M. (2024). Sensing of type 2 diabetes patients based on Internet of Things solutions: An Extensive survey. In Modern technology in healthcare and medical education: Blockchain, IoT, AR, and VR (pp. 34-46). IGI Global.en_US
dc.identifier.isbn9798369354957
dc.identifier.urihttp://dir.muni.ac.ug/xmlui/handle/20.500.12260/649
dc.description.abstractInternet of things solutions have brought about a significant revolution in the development of healthcare by providing remote monitoring capabilities and providing doctors with reports on patients in real-time, which leads to developing the care of patients with type 2 diabetes and enhancing their health condition. Through several sensors, IoT devices can collect patients' health data, such as glucose level, blood pressure, heart rate, and physical activity, so that healthcare workers can assess patients' health status and disease development within the body. These devices contribute to saving patients' lives by providing continuous monitoring of vital signs and disease management by physicians and healthcare workers. In this context, this article contributes to reviewing the development of IoT solutions in providing information and mechanisms adopted in monitoring patients with type 2 diabetes, data security issues, privacy concerns, and interoperability.en_US
dc.language.isoenen_US
dc.publisherIGI Globalen_US
dc.subjectType 2 Diabetesen_US
dc.subjectDiabetesen_US
dc.subjectInternet of Thingsen_US
dc.subjectIoTen_US
dc.subjectPatienten_US
dc.titleSensing of type 2 diabetes patients based on Internet of Things solutions: An Extensive surveyen_US
dc.typeBook chapteren_US


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