[HTML][HTML] Optimization of resources in intelligent electronic health systems based on Internet of Things to predict heart diseases via artificial neural network
Y Liao, Z Tang, K Gao, M Trik�- Heliyon, 2024 - cell.com
As a paradigm shift in tandem with the expansion of ICT, smart electronic health systems
hold great promise for enhancing healthcare delivery and illness prevention efforts. These�…
hold great promise for enhancing healthcare delivery and illness prevention efforts. These�…
Global prevalence and incidence of Young Onset Parkinson's disease: A systematic review and meta-analysis
F Nabizadeh, H Seyedmirzaei, N Rafiei…�- Journal of Clinical�…, 2024 - Elsevier
Background There is a lack of enough evidence regarding the epidemiology of Young-onset
Parkinson's disease (YOPD) which is needed by clinicians and healthcare policymakers�…
Parkinson's disease (YOPD) which is needed by clinicians and healthcare policymakers�…
[HTML][HTML] Wireless-based portable device heart rate measurement as biomedical devices for stress detection
C Kuncoro, A Efendi, WJ Luo, MM Sakanti…�- AIP Advances, 2024 - pubs.aip.org
Stress can increase the heart rate, causing dangerous conditions that cause significant harm
and even death. Therefore, managing stress well to control the heart rate is vital. Monitoring�…
and even death. Therefore, managing stress well to control the heart rate is vital. Monitoring�…
Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno–Weber triangular norms in a dual hesitant�…
T Senapati, A Sarkar, G Chen�- Engineering Applications of Artificial�…, 2024 - Elsevier
The healthcare industry faces numerous challenges in managing its supply chain efficiently,
where critical decisions must be made promptly to ensure the availability of essential�…
where critical decisions must be made promptly to ensure the availability of essential�…
[HTML][HTML] Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework
Abstract Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the
realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices�…
realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices�…
Emotion analysis and recognition in 3D space using classifier-dependent feature selection in response to tactile enhanced audio–visual content using EEG
A Raheel�- Computers in Biology and Medicine, 2024 - Elsevier
Traditional media such as text, images, audio, and video primarily target specific senses like
vision and hearing. In contrast, multiple sensorial media aims to create immersive�…
vision and hearing. In contrast, multiple sensorial media aims to create immersive�…
[HTML][HTML] A comprehensive study on unraveling the advances of immersive technologies (VR/AR/MR/XR) in the healthcare sector during the COVID-19: Challenges�…
The current COVID-19 pandemic has affected almost every aspect of life but its impact on
the healthcare landscape is conspicuously adverse. However, digital technologies played a�…
the healthcare landscape is conspicuously adverse. However, digital technologies played a�…
Converging Technologies for Health Prediction and Intrusion Detection in Internet of Healthcare Things with Matrix-Valued Neural Coordinated Federated Intelligence
SA Alzakari, A Sarkar, MZ Khan, AA Alhussan�- IEEE Access, 2024 - ieeexplore.ieee.org
This paper introduces Matrix-Valued Neural Coordinated Federated Deep Extreme Machine
Learning, a novel approach for enhancing health prediction and intrusion detection on the�…
Learning, a novel approach for enhancing health prediction and intrusion detection on the�…
6G Wireless with Cyber Care and Artificial Intelligence for Patient Data Prediction
The Traditional hospital manual-centric focused model has been replaced with the
decentralised patient-centric approach in recent data processing models. The advent of the�…
decentralised patient-centric approach in recent data processing models. The advent of the�…
Fingertip Video Dataset for Non-invasive Diagnosis of Anemia using ResNet-18 Classifier
Hemoglobin is the iron containing protein in red blood cells which carries oxygen from lungs
to rest of the body tissues. Accurate measurement of hemoglobin is essential for diagnosing�…
to rest of the body tissues. Accurate measurement of hemoglobin is essential for diagnosing�…