Comprehensive survey of using machine learning in the COVID-19 pandemic
Since December 2019, the global health population has faced the rapid spreading of
coronavirus disease (COVID-19). With the incremental acceleration of the number of …
coronavirus disease (COVID-19). With the incremental acceleration of the number of …
[HTML][HTML] Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
COVID-19, a worldwide pandemic that has affected many people and thousands of
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study
Z Fang, S Yang, C Lv, S An, W Wu - BMJ open, 2022 - bmjopen.bmj.com
Objective The COVID-19 outbreak was first reported in Wuhan, China, and has been
acknowledged as a pandemic due to its rapid spread worldwide. Predicting the trend of …
acknowledged as a pandemic due to its rapid spread worldwide. Predicting the trend of …
Empirical study on classifiers for earlier prediction of COVID-19 infection cure and death rate in the Indian states
Machine Learning methods can play a key role in predicting the spread of respiratory
infection with the help of predictive analytics. Machine Learning techniques help mine data …
infection with the help of predictive analytics. Machine Learning techniques help mine data …
RETRACTED ARTICLE: Prediction of gestational diabetes based on explainable deep learning and fog computing
Gestational diabetes mellitus (GDM) is one of the pregnancy complications that endangers
both mothers and babies. GDM is usually diagnosed at 22–26 weeks of gestation. However …
both mothers and babies. GDM is usually diagnosed at 22–26 weeks of gestation. However …
Using a deep learning model to explore the impact of clinical data on COVID-19 diagnosis using chest X-ray
The coronavirus pandemic (COVID-19) is disrupting the entire world; its rapid global spread
threatens to affect millions of people. Accurate and timely diagnosis of COVID-19 is essential …
threatens to affect millions of people. Accurate and timely diagnosis of COVID-19 is essential …
[HTML][HTML] Design of an artificial neural network to predict mortality among COVID-19 patients
M Shanbehzadeh, R Nopour… - Informatics in medicine …, 2022 - Elsevier
Introduction The fast pandemic of coronavirus disease 2019 (COVID-19) has challenged
clinicians with many uncertainties and ambiguities regarding disease outcomes and …
clinicians with many uncertainties and ambiguities regarding disease outcomes and …
Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction
Gestational diabetes mellitus (GDM) is one of the pregnancy complications that poses a
significant risk on mothers and babies as well. GDM usually diagnosed at 22–26 of …
significant risk on mothers and babies as well. GDM usually diagnosed at 22–26 of …
Classifying the mortality of people with underlying health conditions affected by COVID‐19 using machine learning techniques
R Mustafa A. Mohammad, M Aljabri… - … Intelligence and Soft …, 2022 - Wiley Online Library
The COVID‐19 pandemic has greatly affected populations worldwide and has posed a
significant challenge to medical systems. With the constant increase in the number of severe …
significant challenge to medical systems. With the constant increase in the number of severe …
The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis
Y Xin, H Li, Y Zhou, Q Yang, W Mu, H Xiao… - BMC Medical Informatics …, 2023 - Springer
Background The purpose of this paper was to systematically evaluate the application value
of artificial intelligence in predicting mortality among COVID-19 patients. Methods The …
of artificial intelligence in predicting mortality among COVID-19 patients. Methods The …