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 …

Advanced predictive analytics coupled with an effective attribute selection method plays a
pivotal role in the precise assessment of chronic disorder risks in patients. Traditional …

Background/Aim: Using machine learning approaches as non-invasive methods have been
used recently as an alternative method in staging chronic liver diseases for avoiding the …

Current liver fibrosis scoring by computer-assisted image analytics is not fully automated as
it requires manual preprocessing (segmentation and feature extraction) typically based on …

Abstract Background and Objective Considered as one of the most recurrent types of liver
malignancy, Hepatocellular Carcinoma (HCC) needs to be assessed in a non-invasive way …

Esophageal Varices is one of the most common side-effects of liver cirrhosis diseases which
is detected by Upper endoscopy. Screening all patients implies many endoscopies will be …

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 …

IL28B single nucleotide polymorphism (rs12979860) is an etiology-independent predictor of
hepatitis C virus (HCV)-related hepatic fibrosis. Data mining is a method of predictive …

Abstract Machine learning (ML) is proving to be an appealing analytical tool as modern
medicine progresses towards preventative care. Clinical risk prediction models built using …

Liver cirrhosis is a highly infectious blood-borne illness that is often asymptomatic in its early
stages. As a result, diagnosing and treating patients during the early stages of illness is …