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A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges
Recently, various sophisticated methods, including machine learning and artificial
intelligence, have been employed to examine health-related data. Medical professionals are …
intelligence, have been employed to examine health-related data. Medical professionals are …
[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
[HTML][HTML] Applying artificial intelligence to wearable sensor data to diagnose and predict cardiovascular disease: a review
Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …
Exploring the role of 6G technology in enhancing quality of experience for m-health multimedia applications: a comprehensive survey
Mobile-health (m-health) is described as the application of medical sensors and mobile
computing to the healthcare provision. While 5G networks can support a variety of m-health …
computing to the healthcare provision. While 5G networks can support a variety of m-health …
Secure internet of things (IoT) using a novel brooks Iyengar quantum byzantine agreement-centered blockchain networking (BIQBA-BCN) model in smart healthcare
Z Zhao, X Li, B Luan, W Jiang, W Gao… - Information Sciences, 2023 - Elsevier
Abstract Smart Health Care offers efficient, sustainable, along with real-time human services,
and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart …
and the concept of enhanced Internet of Things (IoT) lies behind the emergence of this smart …
A deep-learning-based smart healthcare system for patient's discomfort detection at the edge of internet of things
The Internet of Things (IoT) widely supports the smart healthcare field; combined with
computer vision, machine, and deep learning techniques; it provides fast and accurate …
computer vision, machine, and deep learning techniques; it provides fast and accurate …
A robust framework for handling health care information based on machine learning and big data engineering techniques
SP Praveen, TB Murali Krishna… - … Journal of Healthcare …, 2022 - Taylor & Francis
Confidentiality and security breaches remain significant concerns for electronic healthcare
systems even though many relevant rules, principles, and compliance standards are in …
systems even though many relevant rules, principles, and compliance standards are in …
Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues
The rapid growth of the Internet of Things (IoT) has led to its widespread adoption in various
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …
Remote patient monitoring and classifying using the internet of things platform combined with cloud computing
Many researchers have recently considered patients' health and provided an optimal and
appropriate solution. With the advent of technologies such as cloud computing, Internet of …
appropriate solution. With the advent of technologies such as cloud computing, Internet of …