[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] Explainable ensemble-based machine learning models for detecting the presence of cirrhosis in Hepatitis C patients
A Alotaibi, L Alnajrani, N Alsheikh, A Alanazy… - Computation, 2023 - mdpi.com
Hepatitis C is a liver infection caused by a virus, which results in mild to severe inflammation
of the liver. Over many years, hepatitis C gradually damages the liver, often leading to …
of the liver. Over many years, hepatitis C gradually damages the liver, often leading to …
Machine learning model for hepatitis C diagnosis customized to each patient
Machine learning is now widely used in various fields, and it has made a big splash in the
field of disease diagnosis. But traditional machine learning models are general-purpose …
field of disease diagnosis. But traditional machine learning models are general-purpose …
[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] 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 …
[HTML][HTML] Hybrid model for precise hepatitis-C classification using improved random forest and SVM method
Abstract Hepatitis C Virus (HCV) is a viral infection that causes liver inflammation. Annually,
approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in …
approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in …
Applying data mining techniques to classify patients with suspected hepatitis C virus infection
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 …
of the disease can cause irreversible damage to severe liver damage or even death …
[HTML][HTML] An interpretable machine learning approach for hepatitis b diagnosis
Hepatitis B is a potentially deadly liver infection caused by the hepatitis B virus. It is a serious
public health problem globally. Substantial efforts have been made to apply machine …
public health problem globally. Substantial efforts have been made to apply machine …
Predicting infectious state of hepatitis c virus affected patient's applying machine learning methods
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 …
many tools have been build that try to reduce the influence of this virus. In this work, a …
[HTML][HTML] Artificial intelligence-based ensemble learning model for prediction of hepatitis C disease
Machine learning algorithms are excellent techniques to develop prediction models to
enhance response and efficiency in the health sector. It is the greatest approach to avoid the …
enhance response and efficiency in the health sector. It is the greatest approach to avoid the …