Internet of things for healthcare using effects of mobile computing: a systematic literature review

S Nazir, Y Ali, N Ullah… - … and Mobile Computing, 2019 - Wiley Online Library
The impact of Internet of Things has been revolutionized in all fields of life, but its impact on
the healthcare system has been significant due to its cutting edge transition. The role of …

A survey and classification of security and privacy research in smart healthcare systems

A Algarni - IEEE Access, 2019 - ieeexplore.ieee.org
Advances in wireless technology have resulted in the development of smart healthcare
systems (SHSs). In SHS, sensors, wearables, and devices monitor a patient's vital …

A new healthcare diagnosis system using an IoT-based fuzzy classifier with FPGA

S Satpathy, P Mohan, S Das, S Debbarma - The Journal of …, 2020 - Springer
In this study, an Internet of Things (IoT)-based analysis system is proposed, which can be
used to design a consumer electronic device. This IoT-based analysis system will alert the …

Evaluating Internet of Medical Things (IoMT)-based systems from a human-centric perspective

C Kotronis, I Routis, E Politi, M Nikolaidou… - Internet of Things, 2019 - Elsevier
Abstract Internet of Things (IoT)-based systems are rapidly evolving, offering promising
technological, financial and social prospects in multiple domains, including healthcare …

Internet of things in health management systems: A review

J Huang, X Wu, W Huang, X Wu… - International Journal of …, 2021 - Wiley Online Library
In today's health care context, the application of the Internet of Things (IoT) offers suitability
for doctors and patients as we can use them in many medical fields. So, we have …

[PDF][PDF] Big data analytics in heart diseases prediction

A Ismail, S Abdlerazek, IM El-Henawy - Journal of Theoretical and …, 2020 - academia.edu
The healthcare data can be employed to develop a health prediction system that can
improve in heart disease prevention. Big data on health care, including patient records …

Dynamic Data Sample Selection and Scheduling in Edge Federated Learning

MA Serhani, HG Abreha, A Tariq… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Federated Learning (FL) is a state-of-the-art paradigm used in Edge Computing (EC). It
enables distributed learning to train on cross-device data, achieving efficient performance …

Big data analytics and preprocessing

N Shehab, M Badawy, H Arafat - Machine learning and big data analytics …, 2021 - Springer
Big data is a trending word in the industry and academia that represents the huge flood of
collected data, this data is very complex in its nature. Big data as a term used to describe …

IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing

A Dhillon, A Singh, H Vohra, C Ellis… - Enterprise Information …, 2022 - Taylor & Francis
This paper proposes IoT-based an enterprise health information system called IoTPulse to
predict alcohol addiction providing real-time data using machine-learning in fog computing …

A Novel Smart Ambulance System—Algorithm Design, Modeling, and Performance Analysis

MAR Abdeen, MH Ahmed, H Seliem, TR Sheltami… - Ieee …, 2022 - ieeexplore.ieee.org
Smart ambulance is a novel system where modern communication, computation, and
sensing technologies are employed to revolutionize ambulance and emergency systems …