This paper is marked retracted in the scholarly record (OpenAlex). Interpret its findings with caution.
Retraction: Ensemble learning for multi-class COVID-19 detection from big data
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsCOVID-19 diagnosis using AI · Anomaly Detection Techniques and Applications · Smart Systems and Machine Learning
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.
The reference list from the paper itself. Each links out to its DOI / PubMed record.