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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. Develo** an effective medical decision …
they have been the subject of many studies. Develo** an effective medical decision …
Performance comparison of machine learning approaches on hepatitis C prediction employing data mining techniques
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
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 …