Hybrid model for precise hepatitis-C classification using improved random forest and SVM method

Hybrid model for precise hepatitis-C classification using improved random forest and SVM method

Abstract Hepatitis C Virus (HCV) is a viral infection that causes liver inflammation. Annually, approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in earlier stages helps to save lives. In the HCV review, the authors used a single ML-based prediction model in the curre...

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Bibliographic Details
Main Authors: Umesh Kumar Lilhore, Poongodi Manoharan, Jasminder Kaur Sandhu, Sarita Simaiya, Surjeet Dalal, Abdullah M. Baqasah, Majed Alsafyani, Roobaea Alroobaea, Ismail Keshta, Kaamran Raahemifar
Format: Article
Language:English
Published: Nature Portfolio 2023-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-36605-3

Internet

https://doi.org/10.1038/s41598-023-36605-3

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