Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review
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 …
century. Covid-19 has already endangered the lives of millions of people worldwide due to …
Industry 4.0 and digitalisation in healthcare
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 …
digitisation, artificial intelligence, user response data (ergonomics), human psychology, the …
COVID-19 detection from chest X-ray images using feature fusion and deep learning
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 …
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
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 …
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
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 …
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 …
systems are potentially immensely beneficial for COVID‐19 patients. This study presents an …
Mobile health in remote patient monitoring for chronic diseases: Principles, trends, and challenges
Chronic diseases are becoming more widespread. Treatment and monitoring of these
diseases require going to hospitals frequently, which increases the burdens of hospitals and …
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
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 …
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …
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 …
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 …
Moreover, the COVID-19 confirmed cases have recently increased to over 10 million …