Author Correction: A novel hybrid supervised and unsupervised hierarchical ensemble for COVID-19 cases and mortality prediction
Vitaliy Yakovyna, Nataliya Shakhovska, Aleksandra Szpakowska
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 · Artificial Intelligence in Healthcare
Correction to: Scientific Reports, 10.1038/s41598-024-60637-y, published on 29 April 2024.
The original version of this Article contained an error.
In the section ‘Related works’,
"Alballa and Al-Turaiki^20^ address monetary policy concerning money laundering methods in COVID-19, focusing on diagnosis and predicting severity and mortality risk using machine learning algorithms.”
now reads:
"Alballa and Al-Turaiki^20^ focused on COVID-19 diagnosis and predicting severity and mortality risk using machine learning algorithms."
The original article has been corrected.