Longitudinal metabolomics of human plasma reveals prognostic markers of COVID-19 disease severity
There is an urgent need to identify which COVID-19 patients will develop life-threatening
illness so that medical resources can be optimally allocated and rapid treatment can be …
illness so that medical resources can be optimally allocated and rapid treatment can be …
A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality
The coronavirus disease 2019 (COVID-19), with new variants, continues to be a constant
pandemic threat that is generating socio-economic and health issues in manifold countries …
pandemic threat that is generating socio-economic and health issues in manifold countries …
Disaster and pandemic management using machine learning: a survey
This article provides a literature review of state-of-the-art machine learning (ML) algorithms
for disaster and pandemic management. Most nations are concerned about disasters and …
for disaster and pandemic management. Most nations are concerned about disasters and …
Machine Learning‐Based Model to Predict the Disease Severity and Outcome in COVID‐19 Patients
The novel coronavirus (COVID‐19) outbreak produced devastating effects on the global
economy and the health of entire communities. Although the COVID‐19 survival rate is high …
economy and the health of entire communities. Although the COVID‐19 survival rate is high …
A Review on Machine Learning Strategies for Real‐World Engineering Applications
Huge amounts of data are circulating in the digital world in the era of the Industry 5.0
revolution. Machine learning is experiencing success in several sectors such as intelligent …
revolution. Machine learning is experiencing success in several sectors such as intelligent …
Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network
Prediction of complex epidemiological systems such as COVID-19 is challenging on many
grounds. Commonly used compartmental models struggle to handle an epidemiological …
grounds. Commonly used compartmental models struggle to handle an epidemiological …
Assessment of public intention to get vaccination against COVID‐19: Evidence from a developing country
Objectives Widespread acceptance of the COVID‐19 vaccine will be the next important step
in fighting the novel coronavirus disease. Though the Pakistani government has successfully …
in fighting the novel coronavirus disease. Though the Pakistani government has successfully …
Internet of medical things healthcare for sustainable smart cities: current status and future prospects
The concept of smart and connected healthcare has emerged in response to the growing
demand for the improvement of healthcare systems and the increasing prevalence of …
demand for the improvement of healthcare systems and the increasing prevalence of …
[HTML][HTML] Facial recognition system for people with and without face mask in times of the covid-19 pandemic
In the face of the COVID-19 pandemic, the World Health Organization (WHO) declared the
use of a face mask as a mandatory biosafety measure. This has caused problems in current …
use of a face mask as a mandatory biosafety measure. This has caused problems in current …
[HTML][HTML] Application of machine learning in CT images and X-rays of COVID-19 pneumonia
F Zhang - Medicine, 2021 - journals.lww.com
Abstract Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed
tomography (CT) are 2 technologies widely used in image acquisition, segmentation …
tomography (CT) are 2 technologies widely used in image acquisition, segmentation …