Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review
S Lalmuanawma, J Hussain, L Chhakchhuak - Chaos, Solitons & Fractals, 2020 - Elsevier
… 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 …
with new model Automatic COVID-19 detection based on deep learning algorithm [29]. The …
[HTML][HTML] Machine learning-based prediction of COVID-19 diagnosis based on symptoms
… 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 …
high … , we developed a model that detects COVID-19 cases by simple features accessed by …
Machine learning applications for COVID-19 outbreak management
… 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 …
area of human life. Several machine learning … , notably in COVID-19 management. Different …
COVID-19 pandemic prediction for Hungary; a hybrid machine learning approach
… 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. …
data from Hungary. The hybrid machine learning … of machine learning for future research. …
Coronavirus disease (COVID-19) cases analysis using machine-learning applications
… -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 …
health provider programs and plans to assess and triage the COVID-19 cases. Supervised …
COVID-19 detection from CBC using machine learning techniques
A Akhtar, S Akhtar, B Bakhtawar… - International Journal …, 2021 - journals.gaftim.com
… 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 …
learning algorithms using full blood count for the prediction of COVID-19. These algorithms …
[HTML][HTML] Role of machine learning techniques to tackle the COVID-19 crisis: systematic review
… 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 …
… Our findings highlight important variables, data types, and available COVID-19 resources …
Artificial intelligence and machine learning to fight COVID-19
… 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 …
been used in taxonomic classification of COVID-19 genomes (8), CRISPR-based COVID-19 …
Comparing machine learning algorithms for predicting COVID-19 mortality
K Moulaei, M Shanbehzadeh… - BMC medical informatics …, 2022 - Springer
… 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 …
learning (… potential solution for predicting mortality in COVID-19 hospitalized patients. So, our …
Covid-19 outbreak prediction with machine learning
… 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 …
learning as … to demonstrate the potential of machine learning for future research. This paper …
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