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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 …
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
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 …
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
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 …
mortality worldwide. Early diagnosis and effective treatment are essential to prevent the …
[PDF][PDF] A proposed method for minimizing mining tasks' data dimensionality
Knowledge discovery techniques have heavily contributed to many fields with significant
success. However, with the continuous growth of data, these techniques suffer from …
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 …
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) …
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 …
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 …
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 …
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
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 …
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 …