Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection.
Around 1.5 million new cases of Hepatitis C Virus (HCV) are diagnosed globally each year (World Health Organization, 2023). Consequently, there is a pressing need for early diagnostic methods for HCV. This study investigates the prognostic accuracy of several ensemble machine learning (ML) models fo...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science (PLoS)
2025-01-01
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| Schriftenreihe: | PLoS ONE |
| Online-Zugang: | https://doi.org/10.1371/journal.pone.0326488 |
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