Hep-pred: hepatitis c staging prediction using fine gaussian svm
TM Ghazal - Computers, Materials & Continua, 2021 - research.skylineuniversity.ac.ae
Hepatitis C is a contagious blood-borne infection, and it is mostly asymptomatic during the
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …
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 …
Machine Learning in liver disease diagnosis: Current progress and future opportunities
N Tanwar, KF Rahman - IOP conference series: materials …, 2021 - iopscience.iop.org
There has been a rapid growth in the use of automatic decision-making systems and tools in
the medical domain. By using the concepts of big data, deep learning, and machine …
the medical domain. By using the concepts of big data, deep learning, and machine …
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 …
An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis
Hepatitis C is an infectious disease that affects more than 70 million people worldwide, even
killing 400 thousand of them annually. To better understand this disease and its prognosis …
killing 400 thousand of them annually. To better understand this disease and its prognosis …
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 …
they have been the subject of many studies. Developing an effective medical decision …
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 …
symptoms, early diagnosis is difficult in this disease. Efficient prediction can save patients …
Diagnosing the stage of hepatitis C using machine learning
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 …
C are reported every year across the globe. Effective, timely prediction of the disease can …
Applications of dynamic feature selection and clustering methods to medical diagnosis
MM Ershadi, A Seifi - Applied Soft Computing, 2022 - Elsevier
Abstract Machine learning methods are commonly used for disease and cancer diagnosis.
The model performance can be improved via feature selection, feature reduction, and …
The model performance can be improved via feature selection, feature reduction, and …
An application of machine learning regression to feature selection: a study of logistics performance and economic attribute
This study demonstrates how to profit from up-to-date dynamic economic big data, which
contributes to selecting economic attributes that indicate logistics performance as reflected …
contributes to selecting economic attributes that indicate logistics performance as reflected …