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

<div><p>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 i...

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Bibliographic Details
Main Author: Umesh Kumar Lilhore (17727684) (author)
Other Authors: Poongodi Manoharan (17727687) (author), Jasminder Kaur Sandhu (17727690) (author), Sarita Simaiya (17727693) (author), Surjeet Dalal (4906894) (author), Abdullah M. Baqasah (17542077) (author), Majed Alsafyani (17727696) (author), Roobaea Alroobaea (8698965) (author), Ismail Keshta (17727699) (author), Kaamran Raahemifar (707645) (author)
Published: 2023
Subjects:
Biomedical and clinical sciences
Medical biotechnology
Hybrid
hepatitis‑C
SVM method
Hepatitis C Virus (HCV)
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