Diagnosing the stage of hepatitis C using machine learning

MB Butt, M Alfayad, S Saqib, MA Khan… - Journal of …, 2021 - Wiley Online Library
Hepatitis C is a prevalent disease in the world. Around 3 to 4 million new cases of Hepatitis
C are reported every year across the globe. Effective, timely prediction of the disease can …

Intelligent diagnosis system of hepatitis C virus: A probabilistic neural network based approach

PV Terlapu, SB Gedela, VK Gangu… - International Journal of …, 2022 - Wiley Online Library
In recent years, early detection of hepatitis C virus (HCV) disease has been a vital task in the
medical science field. HCV became the main health concern to the public, as it was noticed …

Applying data mining techniques to classify patients with suspected hepatitis C virus infection

R Safdari, A Deghatipour, M Gholamzadeh… - Intelligent …, 2022 - mednexus.org
Background Hepatitis C virus (HCV) has a high prevalence worldwide, and the progression
of the disease can cause irreversible damage to severe liver damage or even death …

[HTML][HTML] Performance comparison of machine learning approaches on hepatitis C prediction employing data mining techniques

A Alizargar, YL Chang, TH Tan - Bioengineering, 2023 - mdpi.com
Hepatitis C is a liver infection caused by the hepatitis C virus (HCV). Due to the late onset of
symptoms, early diagnosis is difficult in this disease. Efficient prediction can save patients …

Hepatitis C virus (HCV) prediction by machine learning techniques

SCR Nandipati, C XinYing, KK Wah - Applications of modelling and …, 2020 - arqiipubl.com
Hepatitis C being as a prevalent disease in the world especially in countries like Egypt. It is
estimated that 3-4 million new cases every year, indicating as a public health problem and …

Machine Learning Models for Diagnostic Classification of Hepatitis C Tests

OO Oladimeji, A Oladimeji, O Olayanju - Frontiers in Health Informatics, 2021 - ijmi.ir
Introduction: Hepatitis C is a chronic infection caused by hepatitis c virus-a blood borne
virus. Therefore, the infection occurs through exposure to small quantities of blood. It has …

Prediction of hepatitis disease using machine learning technique

VK Yarasuri, GK Indukuri… - … on I-SMAC (IoT in Social …, 2019 - ieeexplore.ieee.org
The objective of this work is to choose the best tool for diagnosis and detection of Hepatitis
as well as for the prediction of life expectancy of Hepatitis patients. In this work, a …

Hepatitis C virus data analysis and prediction using machine learning

M Yağanoğlu - Data & Knowledge Engineering, 2022 - Elsevier
Medical decision support systems have been on the rise with technological advances and
they have been the subject of many studies. Developing an effective medical decision …

The diagnosis of chronic liver disease using machine learning techniques

G Shaheamlung, H Kaur - Information Technology in Industry, 2021 - it-in-industry.org
In the 21st-century, the issue of liver disease has been increasing all over the world. As per
the latest survey report, liver disease death toll has been rise approximately 2 million per …

Predicting infectious state of hepatitis c virus affected patient's applying machine learning methods

K Ahammed, MS Satu, MI Khan… - 2020 IEEE Region 10 …, 2020 - ieeexplore.ieee.org
Hepatitis C virus is a major cause for happening liver disease all over the world. However,
many tools have been build that try to reduce the influence of this virus. In this work, a …