Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt

H Mamdouh Farghaly, MY Shams… - … and Information Systems, 2023 - Springer
Prediction and classification of diseases are essential in medical science, as it attempts to
immune the spread of the disease and discover the infected regions from the early stages …

Hepatitis C prediction using machine learning and deep learning-based hybrid approach with biomarker and clinical data

R Ripa, KMM Uddin, MJ Alam, MM Rahman - Biomedical Materials & …, 2024 - Springer
Chronic liver damage is believed to be mostly caused by the Hepatitis C virus (HCV). About
90% of hepatitis C infections progress to chronic hepatitis. Acute HCV infection is a condition …

Explainable machine learning approach for hepatitis C diagnosis using SFS feature selection

AM Ali, MR Hassan, F Aburub, M Alauthman… - Machines, 2023 - mdpi.com
Hepatitis C is a significant public health concern, resulting in substantial morbidity and
mortality worldwide. Early diagnosis and effective treatment are essential to prevent the …

[PDF][PDF] A proposed method for minimizing mining tasks' data dimensionality

AM Idrees, WH Gomaa - International Journal of Intelligent …, 2020 - academia.edu
Knowledge discovery techniques have heavily contributed to many fields with significant
success. However, with the continuous growth of data, these techniques suffer from …

[HTML][HTML] Understanding HCV through the Lens of Mathematical Modeling: A Comprehensive Review

B Kumar, MK Singh, D Khatua… - Journal of Applied …, 2024 - lhscientificpublishing.com
Abstract The World Health Organization announced worldwide hepatitis C virus (HCV)
eradication goals in 2016, including an 80\% decrease in HCV transmission by 2030 …

Review About the Application of Explainable Machine Learning for Early Detection and Diagnosis of Liver Diseases: A Case Study on Fatty Liver Disease (FLD) and …

AA Ali, A Ashraf, KH Rahouma - Interdisciplinary Studies on Digital …, 2025 - igi-global.com
Review About the Application of Explainable Machine Learning for Early Detection and
Diagnosis of Liver Diseases: A Case Study on Fatty Liver Disease (FLD) and Hepatitis B (HBV) …

Unleashing Machine Learning for Hepatitis C Prediction: A Holistic Exploration of Clinical Insights

FT Janin, FA Robin, S Ahmed… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Chronic diseases, characterized by long-term effects and persistent symptoms, pose
significant challenges to human health and well-being. The hepatitis C virus (HCV) is the …

Hepatitis C Virus prediction based on machine learning framework a real-world case study in Egypt

F Heba Mamdouh, S Mahmoud Y, EH Tarek Abd - 2023 - dlib.phenikaa-uni.edu.vn
Prediction and classification of diseases are essential in medical science, as it attempts to
immune the spread of the disease and discover the infected regions from the early stages …

[PDF][PDF] Future Computing and Informatics Journa l

M Attia, M Farghaly, M Hamada… - Computing and … - digitalcommons.aaru.edu.jo
ABSTRACT A feature is a single measurable criterion to an observation of a process. While
knowledge discovery techniques successfully contribute to many fields, however, the …

[PDF][PDF] 生成食品安全关键绩效指标的体系结构框架

F Abogabal, SM Ouf, AM Idrees, AE Khedr - 西南交通大学学报, 2020 - academia.edu
摘要信息技术在所有行业领域都证明了其有效性, 使竞争达到了前所未有的高度.
确定基本参数对于成功至关重要. 在不同领域中, 业务流程监视也至关重要. 例如, 在食品工业中 …