Prediction of hepatitis-C virus using statistical learning models
Abstract The hepatitis-c virus (HCV) is a viral infection that targets the liver and has emerged as a significant global health concern. This study investigates the classification of HCV patients by identifying the potential factors crucial for the progression and early detection of HCV. The study i...
Saved in:
| Main Authors: | Shalini Kumari, Subhajit Das, Prashant Kumar Sonker, Agni Saroj, Mukesh Kumar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
|
| Series: | Discover Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12982-025-00654-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models—an empirical analysis of Indian patient liver disease datasets
by: Ritu Rani, et al.
Published: (2025-05-01) -
Penyeimbangan Kelas SMOTE dan Seleksi Fitur Ensemble Filter pada Support Vector Machine untuk Klasifikasi Penyakit Liver
by: Muhammad Amir Nugraha, et al.
Published: (2023-12-01) -
Hepatitis C virus genotypes and viremia in a tertiary hospital in Istanbul, Turkey
by: Sema Alacam, et al.
Published: (2022-04-01) -
HEPATITIS C VIRUS INFECTION AND LYMPHOMA
by: Felipe Suarez, et al.
Published: (2010-02-01) -
HEPATITIS C VIRUS INFECTION AND LYMPHOMA
by: Emmanuel Bachy, et al.
Published: (2010-03-01)