Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19

Victor Chang; Carole Goble; Muthu Ramachandran; Lazarus Jegatha Deborah; Reinhold Behringer

doi:10.1007/s10796-021-10216-7

Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19

Victor Chang^*, Carole Goble, Muthu Ramachandran, Lazarus Jegatha Deborah, Reinhold Behringer

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Pages (from-to)	1363-1367
Number of pages	5
Journal	Information Systems Frontiers
Volume	23
Issue number	6
DOIs	https://doi.org/10.1007/s10796-021-10216-7
Publication status	Published - 1 Dec 2021

Bibliographical note

© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use [https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms], but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10796-021-10216-7

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10.1007/s10796-021-10216-7

VC ISF COVID-19 SI_editorial_accepted
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use [https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms], but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10796-021-10216-7
Accepted author manuscript, 369 KBLicence: Other

Cite this

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AU - Behringer, Reinhold

N1 - © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use [https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms], but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10796-021-10216-7

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Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19

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