A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges

Q An, S Rahman, J Zhou, JJ Kang - Sensors, 2023 - mdpi.com
Recently, various sophisticated methods, including machine learning and artificial
intelligence, have been employed to examine health-related data. Medical professionals are …

Applying artificial intelligence to wearable sensor data to diagnose and predict cardiovascular disease: a review

JD Huang, J Wang, E Ramsey, G Leavey, TJA Chico… - Sensors, 2022 - mdpi.com
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 …

A survey on deep learning in medicine: Why, how and when?

F Piccialli, V Di Somma, F Giampaolo, S Cuomo… - Information …, 2021 - Elsevier
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

Exploring the role of 6G technology in enhancing quality of experience for m-health multimedia applications: A comprehensive survey

MM Nasralla, SBA Khattak, I Ur Rehman, M Iqbal - Sensors, 2023 - mdpi.com
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 …

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 …

A deep-learning-based smart healthcare system for patient's discomfort detection at the edge of internet of things

I Ahmed, G Jeon, F Piccialli - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
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 …

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 …

An ultrasound standard plane detection model of fetal head based on multi-task learning and hybrid knowledge graph

L Zhao, K Li, B Pu, J Chen, S Li, X Liao - Future Generation Computer …, 2022 - Elsevier
Prenatal ultrasound examination is a powerful tool to prevent birth defects and assess fetal
health. Obtaining ultrasound standard planes is a prerequisite for prenatal ultrasound …

Remote patient monitoring and classifying using the internet of things platform combined with cloud computing

S Iranpak, A Shahbahrami, H Shakeri - Journal of Big Data, 2021 - Springer
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 …