Improved Kepler Optimization Algorithm for enhanced feature selection in liver disease classification
Liver diseases represent a significant healthcare challenge, impacting millions globally and
posing complexities in diagnosis. To address this global health concern, this paper …
posing complexities in diagnosis. To address this global health concern, this paper …
[HTML][HTML] IHCP: interpretable hepatitis C prediction system based on black-box machine learning models
Y Fan, X Lu, G Sun - BMC bioinformatics, 2023 - Springer
Background Hepatitis C is a prevalent disease that poses a high risk to the human liver.
Early diagnosis of hepatitis C is crucial for treatment and prognosis. Therefore, developing …
Early diagnosis of hepatitis C is crucial for treatment and prognosis. Therefore, developing …
[HTML][HTML] 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 …
[HTML][HTML] Machine learning for predicting hepatitis B or C virus infection in diabetic patients
SH Kim, SH Park, H Lee - Scientific Reports, 2023 - nature.com
Highly prevalent hepatitis B and hepatitis C virus (HBV and HCV) infections have been
reported among individuals with diabetes. Given the frequently asymptomatic nature of …
reported among individuals with diabetes. Given the frequently asymptomatic nature of …
Hepatitis C prediction using SVM, logistic regression and decision tree
Hepatitis C is an infection of the liver brought on by the HCV virus. In this condition, early
diagnosis is challenging because of the delayed onset of symptoms. Predicting well enough …
diagnosis is challenging because of the delayed onset of symptoms. Predicting well enough …
The Multi-Class Detection of Five Stages of Hepatitis C using the Machine Learning based Random Forest Algorithm
SA Farooq - 2023 World Conference on Communication & …, 2023 - ieeexplore.ieee.org
Hepatitis C is a viral illness that primarily impacts the liver, inducing persistent inflammation
and potentially resulting in significant liver harm over an extended duration. Its transmission …
and potentially resulting in significant liver harm over an extended duration. Its transmission …
[HTML][HTML] Optimizing HCV Disease Prediction in Egypt: The hyOPTGB Framework
The paper focuses on the hepatitis C virus (HCV) infection in Egypt, which has one of the
highest rates of HCV in the world. The high prevalence is linked to several factors, including …
highest rates of HCV in the world. The high prevalence is linked to several factors, including …
[HTML][HTML] A clinical decision support system using rough set theory and machine learning for disease prediction
Objective Technological advances have led to drastic changes in daily life, and particularly
healthcare, while traditional diagnosis methods are being replaced by technology-oriented …
healthcare, while traditional diagnosis methods are being replaced by technology-oriented …
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 …
Implementation of C5. 0 Algorithm using Chi-Square Feature Selection for Early Detection of Hepatitis C Disease
Hepatitis C, a significant global health challenge, affects 71 million people worldwide, with
severe complications such as cirrhosis and hepatocellular carcinoma. Despite its …
severe complications such as cirrhosis and hepatocellular carcinoma. Despite its …