Machine learning approaches for tackling novel coronavirus (COVID-19) pandemic
Abstract Novel coronavirus (COVID-19) has become a global problem in recent times due to
the rapid spread of this disease. Almost all the countries of the world have been affected by …
the rapid spread of this disease. Almost all the countries of the world have been affected by …
Battling COVID-19 using machine learning: A review
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) known as
Coronavirus surfaced in late 2019. It turned out to be a life-threatening disease and is …
Coronavirus surfaced in late 2019. It turned out to be a life-threatening disease and is …
A survey of using machine learning algorithms during the COVID-19 pandemic
The emergence of novel coronavirus (COVID-19) is considered a worldwide pandemic. In
response to this pandemic and following the recent developments in artificial intelligence …
response to this pandemic and following the recent developments in artificial intelligence …
Significant applications of machine learning for COVID-19 pandemic
Machine learning is an innovative approach that has extensive applications in prediction.
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …
Deep learning applications to combat novel coronavirus (COVID-19) pandemic
During this global pandemic, researchers around the world are trying to find out innovative
technology for a smart healthcare system to combat coronavirus. The evidence of deep …
technology for a smart healthcare system to combat coronavirus. The evidence of deep …
Significance of deep learning for Covid-19: state-of-the-art review
Purpose The appearance of the 2019 novel coronavirus (Covid-19), for which there is no
treatment or a vaccine, formed a sense of necessity for new drug discovery advances. The …
treatment or a vaccine, formed a sense of necessity for new drug discovery advances. The …
Machine learning approaches for COVID-19 pandemic
The current global pandemic situation has prompted numerous healthcare experts,
scientists, and clinicians around the globe to intensified effort on identification of novel …
scientists, and clinicians around the globe to intensified effort on identification of novel …
Coronavirus disease (COVID-19) cases analysis using machine-learning applications
Today world thinks about coronavirus disease that which means all even this pandemic
disease is not unique. The purpose of this study is to detect the role of machine-learning …
disease is not unique. The purpose of this study is to detect the role of machine-learning …
Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data
The unprecedented surge of a novel coronavirus in the month of December 2019, named as
COVID-19 by the World Health organization has caused a serious impact on the health and …
COVID-19 by the World Health organization has caused a serious impact on the health and …
[HTML][HTML] Supervised machine learning models for prediction of COVID-19 infection using epidemiology dataset
Abstract COVID-19 or 2019-nCoV is no longer pandemic but rather endemic, with more than
651,247 people around world having lost their lives after contracting the disease. Currently …
651,247 people around world having lost their lives after contracting the disease. Currently …