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Multifactor data analysis to forecast an individual's severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms
Research article (Engineering Reports, 2023) · cited 17× · AI/ML
Multifactor data analysis to forecast an individual's severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms
Summary
Multifactor data analysis to forecast an individual's severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms is a scholarly article[1].
Key Facts
Multifactor data analysis to forecast an individual's severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Multifactor data analysis to forecast an individual's severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/multifactor-data-analysis-to-forecast-an-individual-s-severity-over-novel-covid19-pandemic-using-extreme-gradient-boosti
MLA“Multifactor data analysis to forecast an individual's severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multifactor-data-analysis-to-forecast-an-individual-s-severity-over-novel-covid19-pandemic-using-extreme-gradient-boosti.
BibTeX@misc{4ortxyz_multifactor-data-analysis-to-forecast-an-individual-s-severity-over-novel-covid19-pandemic-using-extreme-gradient-boosti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multifactor data analysis to forecast an individual's severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/multifactor-data-analysis-to-forecast-an-individual-s-severity-over-novel-covid19-pandemic-using-extreme-gradient-boosti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multifactor data analysis to forecast an individual's severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms — https://4ort.xyz/entity/multifactor-data-analysis-to-forecast-an-individual-s-severity-over-novel-covid19-pandemic-using-extreme-gradient-boosti (retrieved 2026-05-24)