… Recent studies design an auxiliary tool to increase the accuracy of Covid-19 diagnosis
with new model Automatic COVID-19 detection based on deep learning algorithm [29]. The …

… 3624 were confirmed to have COVID-19). Our model predicted COVID-19 test results with
high … , we developed a model that detects COVID-19 cases by simple features accessed by …

… COVID-19 epidemic has resulted in millions of deaths and has impacted practically every
area of human life. Several machine learning … , notably in COVID-19 management. Different …

… machine learning approach to predict the COVID-19, and we exemplify its potential using
data from Hungary. The hybrid machine learning … of machine learning for future research. …

… -19 investigations, prediction, and discrimination. In conclusion, machine learning can be …
health provider programs and plans to assess and triage the COVID-19 cases. Supervised …

… COVID-19 literature that utilized AI-based methods to provide insights into different COVID-19
… Our findings highlight important variables, data types, and available COVID-19 resources …

… detection of COVID-19 positive individuals. In this research we employed different machine
learning algorithms using full blood count for the prediction of COVID-19. These algorithms …

… machine learning … since COVID-19 outbreak, advanced machine learning techniques have
been used in taxonomic classification of COVID-19 genomes (8), CRISPR-based COVID-19 …

… COVID-19 outbreak and variation in its behavior across nations, this study suggests machine
learning as … to demonstrate the potential of machine learning for future research. This paper …

… coronavirus disease (COVID-19) hospitalized patients are always at risk of death. Machine
learning (… potential solution for predicting mortality in COVID-19 hospitalized patients. So, our …