Systematic review on machine-learning algorithms used in wearable-based eHealth data analysis

J Nurmi, ES Lohan - IEEE Access, 2021 - ieeexplore.ieee.org
In this digitized world, data has become an integral part in any domain, including healthcare.
The healthcare industry produces a huge amount of digital data, by utilizing information from …

[PDF][PDF] The internet of medical things in healthcare management: a review

C Ejiyi, Z Qin, MB Ejiyi, GU Nneji, HN Monday… - J Digit …, 2023 - ojs.luminescience.cn
The widespread adoption of Internet of Things (IoT) technologies across various domains
has given rise to the Internet of Medical Things (IoMT), which has significantly enhanced the …

Artificial intelligence for internet of things and enhanced medical systems

S Oniani, G Marques, S Barnovi, IM Pires… - Bio-inspired …, 2021 - Springer
Abstract Internet of things (IoT), Big Data, and artificial intelligence (AI) are related research
fields that have a relevant impact factor on the design and development of enhanced …

An intelligent diabetic patient tracking system based on machine learning for E-health applications

SP Menon, PK Shukla, P Sethi, A Alasiry, M Marzougui… - Sensors, 2023 - mdpi.com
Background: Continuous surveillance helps people with diabetes live better lives. A wide
range of technologies, including the Internet of Things (IoT), modern communications, and …

A smart architecture for diabetic patient monitoring using machine learning algorithms

A Rghioui, J Lloret, S Sendra, A Oumnad - Healthcare, 2020 - mdpi.com
Continuous monitoring of diabetic patients improves their quality of life. The use of multiple
technologies such as the Internet of Things (IoT), embedded systems, communication …

A smart glucose monitoring system for diabetic patient

A Rghioui, J Lloret, M Harane, A Oumnad - Electronics, 2020 - mdpi.com
Diabetic patients need ongoing surveillance, but this involves high costs for the government
and family. The combined use of information and communication technologies (ICTs) …

Boosting the performance of enzyme-free biosensing system with Ni–Co bimetallic nanorod anchored on macroporous carbon composites for glucose monitoring

M Chang, L Hao, X Li, H Wang, N Fu… - Materials Research Bulletin, 2024 - Elsevier
In this study, a nickel–cobalt bimetallic nanorod-codoped macroporous carbon
nanocomposite (NiCo NR/MPC) was prepared and used for glucose detection. NiCo NR …

Smart intravenous infusion dosing system

D Oros, M Penčić, J Šulc, M Čavić, S Stankovski… - Applied Sciences, 2021 - mdpi.com
Intravenous (IV) infusion therapy allows the infusion fluid to be inserted directly into the
patient's vein. It is used to place medications directly into the bloodstream or for blood …

An IoT-based glucose monitoring algorithm to prevent diabetes complications

F Valenzuela, A García, E Ruiz, M Vazquez, J Cortez… - applied sciences, 2020 - mdpi.com
Diabetes mellitus (DM) is a metabolic disorder characterized by blood glucose levels above
normal limits. The impact of this disease on the population has increased in recent years. It …

An IoT based diabetic patient monitoring system using machine learning and node MCU

A Rghioui, A Naja, JL Mauri… - Journal of Physics …, 2021 - iopscience.iop.org
Diabetic patient monitoring is a systematic method that provides us with detailed information
about the diabetic patient. Diabetic patient monitoring systems play a significant role in …