Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
A review on deep learning techniques for the diagnosis of novel coronavirus (COVID-19)
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world
and has become one of the most acute and severe ailments in the past hundred years. The …
and has become one of the most acute and severe ailments in the past hundred years. The …
COVID-19 detection empowered with machine learning and deep learning techniques: A systematic review
COVID-19 has infected 223 countries and caused 2.8 million deaths worldwide (at the time
of writing this article), and the death rate is increasing continuously. Early diagnosis of …
of writing this article), and the death rate is increasing continuously. Early diagnosis of …
Application of artificial intelligence-based regression methods in the problem of COVID-19 spread prediction: a systematic review
J Musulin, S Baressi Šegota, D Štifanić… - International journal of …, 2021 - mdpi.com
COVID-19 is one of the greatest challenges humanity has faced recently, forcing a change in
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
[PDF][PDF] The effect of hemoperfusion on treatment outcomes in COVID-19 patients with respiratory failure: a prospective study
E Rafiee, S Ghodrati, A Pezeshgi, M Hasanlu… - renal failure, 2023 - immunopathol.com
Conclusion: In conclusion, the findings of our study indicate that hemoperfusion in COVID-
19 patients with respiratory failure led to a significant increase in hospital stay and ICU stay …
19 patients with respiratory failure led to a significant increase in hospital stay and ICU stay …
Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks
M Petrica, I Popescu - BioData Mining, 2023 - Springer
In this paper, we propose a parameter identification methodology of the SIRD model, an
extension of the classical SIR model, that considers the deceased as a separate category. In …
extension of the classical SIR model, that considers the deceased as a separate category. In …
[引用][C] A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
JIA ZENG