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Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review
International Journal of Environmental Research and Public Health, 18 (2021), 8; 4287. https://doi.org/10.3390/ijerph18084287
Musulin, Jelena; Baressi Šegota, Sandi; Štifanić, Daniel; Lorencin, Ivan; Anđelić, Nikola; Šušteršič, Tijana; Blagojević, Anđela; Filipović, Nenad; Ćabov, Tomislav; Markova-Car, Elitza

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Musulin, J., Baressi Šegota, S., Štifanić, D., Lorencin, I., Anđelić, N., Šušteršič, T. ... Markova Car, E. (2021). Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review. International Journal of Environmental Research and Public Health, 18. (8). doi: 10.3390/ijerph18084287

Musulin, Jelena, et al. "Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review." International Journal of Environmental Research and Public Health, vol. 18, br. 8, 2021. https://doi.org/10.3390/ijerph18084287

Musulin, Jelena, Sandi Baressi Šegota, Daniel Štifanić, Ivan Lorencin, Nikola Anđelić, Tijana Šušteršič, Anđela Blagojević, Nenad Filipović, Tomislav Ćabov i Elitza Markova Car. "Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review." International Journal of Environmental Research and Public Health 18, br. 8 (2021). https://doi.org/10.3390/ijerph18084287

Musulin, J., et al. (2021) 'Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review', International Journal of Environmental Research and Public Health, 18(8). doi: 10.3390/ijerph18084287

Musulin J, Baressi Šegota S, Štifanić D, Lorencin I, Anđelić N, Šušteršič T, i sur.. Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review. International Journal of Environmental Research and Public Health [Internet]. 18.04.2021. [pristupljeno 24.12.2024.];18(8). doi: 10.3390/ijerph18084287

J. Musulin, et al., "Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review", International Journal of Environmental Research and Public Health, vol. 18, br. 8, Travanj 2021. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:271:294352. [Citirano: 24.12.2024.]

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Podaci o radu
Naslov (engleski)Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review
AutorJelena Musulin
AutorSandi Baressi Šegota
AutorDaniel Štifanić
AutorIvan Lorencin
AutorNikola Anđelić
AutorTijana Šušteršič
AutorAnđela Blagojević
AutorNenad Filipović
AutorTomislav Ćabov
AutorElitza Markova-Car
Autorova ustanovaSveučilište u Rijeci
(Fakultet dentalne medicine)
Znanstveno / umjetničko
područje, polje i grana		INTERDISCIPLINARNA PODRUČJA ZNANOSTI
Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)
Sažetak (engleski)
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 researchers across the globe in the attempt of determining the models of COVID-19 spread. The objectives of this review are to analyze some of the open-access datasets mostly used in research in the field of COVID-19 regression modeling as well as present current literature based on Artificial Intelligence (AI) methods for regression tasks, like disease spread. Moreover, we discuss the applicability of Machine Learning (ML) and Evolutionary Computing (EC) methods that have focused on regressing epidemiology curves of COVID-19, and provide an overview of the usefulness of existing models in specific areas. An electronic literature search of the various databases was conducted to develop a comprehensive review of the latest AI-based approaches for modeling the spread of COVID-19. Finally, a conclusion is drawn from the observation of reviewed papers that AI-based algorithms have a clear application in COVID-19 epidemiological spread modeling and may be a crucial tool in the combat against coming pandemics.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Pregledni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaInternational Journal of Environmental Research and Public Health
Brojčani podacivol. 18, br. 8, 4287
e-ISSN1660-4601
DOIhttps://doi.org/10.3390/ijerph18084287
URN:NBNurn:nbn:hr:271:294352
Datum objave publikacije2021-04-18
URL dokumentahttps://www.mdpi.com/1660-4601/18/8/4287
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2023-01-20 10:34:19