[HTML][HTML] Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review

YH Bhosale, KS Patnaik - Neural processing letters, 2023 - Springer
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth
century. Covid-19 has already endangered the lives of millions of people worldwide due to …

[HTML][HTML] Industry 4.0 and digitalisation in healthcare

VV Popov, EV Kudryavtseva, N Kumar Katiyar… - Materials, 2022 - mdpi.com
Industry 4.0 in healthcare involves use of a wide range of modern technologies including
digitisation, artificial intelligence, user response data (ergonomics), human psychology, the …

[HTML][HTML] COVID-19 detection from chest X-ray images using feature fusion and deep learning

M Ahsan, MA Based, J Haider, M Kowalski - Sensors, 2021 - mdpi.com
Currently, COVID-19 is considered to be the most dangerous and deadly disease for the
human body caused by the novel coronavirus. In December 2019, the coronavirus spread …

[HTML][HTML] IoT based wearable device to monitor the signs of quarantined remote patients of COVID-19

N Al Bassam, SA Hussain, A Al Qaraghuli… - Informatics in medicine …, 2021 - Elsevier
Monitoring and managing potential infected patients of COVID-19 is still a great challenge
for the latest technologies. In this work, IoT based wearable monitoring device is designed to …

Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data

M Loey, S El-Sappagh, S Mirjalili - Computers in Biology and Medicine, 2022 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) is extremely infectious and rapidly
spreading around the globe. As a result, rapid and precise identification of COVID-19 …

[Retracted] IoT‐Based Smart Health Monitoring System for COVID‐19 Patients

MM Khan, S Mehnaz, A Shaha… - … Methods in Medicine, 2021 - Wiley Online Library
During the ongoing COVID‐19 pandemic, Internet of Things‐(IoT‐) based health monitoring
systems are potentially immensely beneficial for COVID‐19 patients. This study presents an …

[HTML][HTML] Mobile health in remote patient monitoring for chronic diseases: Principles, trends, and challenges

N El-Rashidy, S El-Sappagh, SMR Islam, H M. El-Bakry… - Diagnostics, 2021 - mdpi.com
Chronic diseases are becoming more widespread. Treatment and monitoring of these
diseases require going to hospitals frequently, which increases the burdens of hospitals and …

Smart healthcare in the age of AI: recent advances, challenges, and future prospects

M Nasr, MM Islam, S Shehata, F Karray… - IEEE Access, 2021 - ieeexplore.ieee.org
The significant increase in the number of individuals with chronic ailments (including the
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …

[HTML][HTML] Wireless technologies, medical applications and future challenges in WBAN: A survey

H Taleb, A Nasser, G Andrieux, N Charara… - Wireless …, 2021 - Springer
Interest and need for Wireless Body Area Networks (WBANs) have significantly increased
recently. WBAN consists of miniaturized sensors designed to collect and transmit data …

[PDF][PDF] Design of accurate classification of COVID-19 disease in X-ray images using deep learning approach

JIZ Chen - Journal of ISMAC, 2021 - scholar.archive.org
COVID-19 appears to be having a devastating influence on world health and wellbeing.
Moreover, the COVID-19 confirmed cases have recently increased to over 10 million …