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 …
A survey on security and privacy issues in contact tracing application of Covid-19
B Sowmiya, VS Abhijith, S Sudersan… - SN computer …, 2021 - Springer
In response to the coronavirus (COVID-19) pandemic, Government and public health
authorities around the world are developing contact tracing apps as a way to trace and slow …
authorities around the world are developing contact tracing apps as a way to trace and slow …
[HTML][HTML] Application of deep learning and machine learning models to detect COVID-19 face masks-A review
E Mbunge, S Simelane, SG Fashoto… - Sustainable Operations …, 2021 - Elsevier
The continuous COVID-19 upsurge and emerging variants present unprecedented
challenges in many health systems. Many regulatory authorities have instituted the …
challenges in many health systems. Many regulatory authorities have instituted the …
[HTML][HTML] Comparative study of artificial neural network versus parametric method in COVID-19 data analysis
Since the previous two years, a new coronavirus (COVID-19) has found a major global
problem. The speedy pathogen over the globe was followed by a shockingly large number …
problem. The speedy pathogen over the globe was followed by a shockingly large number …
CR19: A framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications
Today, there is a level of panic and chaos dominating the entire world due to the massive
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …
A decision-level fusion method for COVID-19 patient health prediction
With the continuous attempts to develop effective machine learning methods, information
fusion approaches play an important role in integrating data from multiple sources and …
fusion approaches play an important role in integrating data from multiple sources and …
A systematic review on the use of AI and ML for fighting the COVID-19 pandemic
Artificial intelligence (AI) and machine learning (ML) have caused a paradigm shift in
healthcare that can be used for decision support and forecasting by exploring medical data …
healthcare that can be used for decision support and forecasting by exploring medical data …
COVID-19 in the age of artificial intelligence: a comprehensive review
The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China,
has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 …
has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 …
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
Artificial intelligence (AI) and computer vision (CV) methods become reliable to extract
features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests …
features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests …
Objective evaluation of deep uncertainty predictions for covid-19 detection
Deep neural networks (DNNs) have been widely applied for detecting COVID-19 in medical
images. Existing studies mainly apply transfer learning and other data representation …
images. Existing studies mainly apply transfer learning and other data representation …