[HTML][HTML] Trends in using deep learning algorithms in biomedical prediction systems
Y Wang, L Liu, C Wang - Frontiers in Neuroscience, 2023 - frontiersin.org
In the domain of using DL-based methods in medical and healthcare prediction systems, the
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …
[HTML][HTML] Symmetry in privacy-based healthcare: a review of skin cancer detection and classification using federated learning
Skin cancer represents one of the most lethal and prevalent types of cancer observed in the
human population. When diagnosed in its early stages, melanoma, a form of skin cancer …
human population. When diagnosed in its early stages, melanoma, a form of skin cancer …
Enhancing patient information performance in internet of things-based smart healthcare system: Hybrid artificial intelligence and optimization approaches
Utilizing cutting-edge technology in the healthcare industry could provide advanced
methods for managing medical records for patients' treatment. Integrating essential …
methods for managing medical records for patients' treatment. Integrating essential …
Intrusion detection in Internet of things using improved binary golden jackal optimization algorithm and LSTM
AV Hanafi, A Ghaffari, H Rezaei, A Valipour… - Cluster Computing, 2024 - Springer
Internet of things (IoT) technology has gained a reputation in recent years due to its ease of
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …
A systematic review of applying grey wolf optimizer, its variants, and its developments in different Internet of Things applications
Abstract The Internet of Things (IoT) shapes an organization of objects that can interface and
share information with different devices using sensors, computer programs, and other …
share information with different devices using sensors, computer programs, and other …
[HTML][HTML] Machine learning-based smart wearable system for cardiac arrest monitoring using hybrid computing
Every year, the percentage of people affected by cardiovascular diseases increases
drastically. Out of them, a heart attack is the most prominent and painful disease. According …
drastically. Out of them, a heart attack is the most prominent and painful disease. According …
[HTML][HTML] A systematic review of artificial neural network techniques for analysis of foot plantar pressure
Plantar pressure distribution offers insights into foot function, gait mechanics, and foot-
related issues. This systematic review presents an analysis of the use of artificial neural …
related issues. This systematic review presents an analysis of the use of artificial neural …
[HTML][HTML] Intelligent Bi-LSTM with architecture optimization for heart disease prediction in WBAN through optimal channel selection and feature selection
Wireless Body Area Network (WBAN) is a trending technology of Wireless Sensor Networks
(WSN) to enhance the healthcare system. This system is developed to monitor individuals by …
(WSN) to enhance the healthcare system. This system is developed to monitor individuals by …
Golden Search Optimization based adaptive and diagonal kernel convolution neural network for disease prediction and securing IoT data in cloud
SJN Kumar, MMG Alam, TFM Raj, RU Mageswari - Applied Soft Computing, 2024 - Elsevier
Due to their open architecture, Internet of Things (IoT) devices have limited user access and
are susceptible to various security vulnerabilities. When healthcare data is stored in the …
are susceptible to various security vulnerabilities. When healthcare data is stored in the …
Optimised ensemble learning-based IoT-enabled heart disease monitoring system: an optimal fuzzy ranking concept
Generally, patients with heart diseases enquire for medical services while sick. They will not
experience sickness often until they reach the last stage of heart disease, and so the …
experience sickness often until they reach the last stage of heart disease, and so the …