A review of deep learning algorithms and their applications in healthcare

H Abdel-Jaber, D Devassy, A Al Salam, L Hidaytallah… - Algorithms, 2022 - mdpi.com
Deep learning uses artificial neural networks to recognize patterns and learn from them to
make decisions. Deep learning is a type of machine learning that uses artificial neural …

Role of artificial intelligence in COVID-19 detection

A Gudigar, U Raghavendra, S Nayak, CP Ooi… - Sensors, 2021 - mdpi.com
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …

Initial stage COVID-19 detection system based on patients' symptoms and chest X-ray images

M Attaullah, M Ali, MF Almufareh, M Ahmad… - Applied Artificial …, 2022 - Taylor & Francis
The accurate diagnosis of the initial stage COVID-19 is necessary for minimizing its
spreading rate. The physicians most often recommend RT-PCR tests; this is invasive, time …

Augmenting sensor performance with machine learning towards smart wearable sensing electronic systems

S Zhang, L Suresh, J Yang, X Zhang… - Advanced Intelligent …, 2022 - Wiley Online Library
Wearable sensing electronic systems (WSES) are becoming a fundamental platform to
construct smart and intelligent networks for broad applications. Various physiological data …

Empirical study on classifiers for earlier prediction of COVID-19 infection cure and death rate in the Indian states

P Guleria, S Ahmed, A Alhumam, PN Srinivasu - Healthcare, 2022 - mdpi.com
Machine Learning methods can play a key role in predicting the spread of respiratory
infection with the help of predictive analytics. Machine Learning techniques help mine data …

Accurate detection of COVID-19 using deep features based on X-Ray images and feature selection methods

A Narin - Computers in Biology and Medicine, 2021 - Elsevier
COVID-19 is a severe epidemic affecting the whole world. This epidemic, which has a high
mortality rate, affects the health systems and the economies of countries significantly …

FedCSCD-GAN: A secure and collaborative framework for clinical cancer diagnosis via optimized federated learning and GAN

A Rehman, H Xing, L Feng, M Hussain, N Gulzar… - … Signal Processing and …, 2024 - Elsevier
Digital technologies present unrivaled opportunities to improve healthcare services
worldwide. Medical devices and hospitals are now using innovative techniques to diagnose …

Novel comparative study for the detection of COVID-19 using CT scan and chest X-ray images

A Hayat, P Baglat, F Mendonça, SS Mostafa… - International Journal of …, 2023 - mdpi.com
The number of coronavirus disease (COVID-19) cases is constantly rising as the pandemic
continues, with new variants constantly emerging. Therefore, to prevent the virus from …

Scientometric analysis of ICT-assisted intelligent control systems response to COVID-19 pandemic

SK Sood, KS Rawat, D Kumar - Neural Computing and Applications, 2023 - Springer
COVID-19 outbreak has caused a devastating impact on the daily lives of people, public
health, and economic progress of infected countries. It has become a leading cause of …

Ensemble deep learning for the detection of covid-19 in unbalanced chest x-ray dataset

KY Win, N Maneerat, S Sreng, K Hamamoto - Applied Sciences, 2021 - mdpi.com
The ongoing COVID-19 pandemic has caused devastating effects on humanity worldwide.
With practical advantages and wide accessibility, chest X-rays (CXRs) play vital roles in the …