Applications of machine learning in healthcare and internet of things (IOT): a comprehensive review
FG Mohammadi, F Shenavarmasouleh… - arXiv preprint arXiv …, 2022 - arxiv.org
In recent years, smart healthcare IoT devices have become ubiquitous, but they work in
isolated networks due to their policy. Having these devices connected in a network enables …
isolated networks due to their policy. Having these devices connected in a network enables …
Internet of things (iot) in healthcare: Applications, challenges and solutions
FG Mohammadi, F Shenavarmasouleh… - 2021 International …, 2021 - ieeexplore.ieee.org
In recent years, smart healthcare IoT devices have become ubiquitous, but they mostly work
in isolated networks due to their policies. Having these devices connected in a network …
in isolated networks due to their policies. Having these devices connected in a network …
Applications of distributed machine learning for the Internet-of-Things: A comprehensive survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
Advanced approach using deep learning for healthcare data analysis in IOT system
S Sachdeva, A Ali - … and Biomedical Systems: Select Proceedings of …, 2022 - Springer
A massive number of IOT devices creates a difficult volume of details. Cloud-based IOT
computing approaches suffer from high and unpredictable network latency, leading to …
computing approaches suffer from high and unpredictable network latency, leading to …
Deployment of Machine Learning based internet of things networks for Tele-medical and remote healthcare
The technological revolution over the past decade has transformed several applications in
different global sectors such as retail, transportation, automobile, agriculture, medicine, etc …
different global sectors such as retail, transportation, automobile, agriculture, medicine, etc …
Deep learning in IOT-based healthcare applications
Internet of Things (IoT) has emerged as the fastest developing technology in the field of
computing where connectivity among various types of devices is unified. Accessibility …
computing where connectivity among various types of devices is unified. Accessibility …
The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things
S Aminizadeh, A Heidari, S Toumaj, M Darbandi… - Computer methods and …, 2023 - Elsevier
Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …
primary goal of maintaining patient data via new information technologies, including the …
Machine learning applications for IoT healthcare
Healthcare sectors are gradually accepting technology that provides various remote
healthcare facility, disease prediction, and in‐home diagnostics capabilities, which combine …
healthcare facility, disease prediction, and in‐home diagnostics capabilities, which combine …
Deep federated learning for IoT-based decentralized healthcare systems
Recent trends in the healthcare industry, such as the use of wearable IoT for continuous
health monitoring, are setting new requirements for healthcare systems that boost data …
health monitoring, are setting new requirements for healthcare systems that boost data …
[HTML][HTML] Federated learning for the internet-of-medical-things: A survey
VK Prasad, P Bhattacharya, D Maru, S Tanwar… - Mathematics, 2022 - mdpi.com
Recently, in healthcare organizations, real-time data have been collected from connected or
implantable sensors, layered protocol stacks, lightweight communication frameworks, and …
implantable sensors, layered protocol stacks, lightweight communication frameworks, and …