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Open Access

Retraction

Retraction: Ensemble learning for multi-class COVID-19 detection from big data

  • The PLOS One Editors

The PLOS One Editors retract this article [1] due to concerns about peer review integrity, authorship, and adherence to the journal’s publication requirements on reporting and data availability. We regret that the issues were not addressed prior to the article’s publication.

SK, AS, MUT, and MB did not agree with the retraction. BQ either did not respond directly or could not be reached.

Reference

  1. 1. Kaleem S, Sohail A, Tariq MU, Babar M, Qureshi B. Ensemble learning for multi-class COVID-19 detection from big data. PLoS One. 2023;18(10): e0292587. pmid:37819992

Citation: The PLOS One Editors (2025) Retraction: Ensemble learning for multi-class COVID-19 detection from big data. PLoS ONE 20(4): e0321416. https://doi.org/10.1371/journal.pone.0321416

Published: April 7, 2025

Copyright: © 2025 The PLOS One Editors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.