Background and Objective Viral hepatitis is a major public health concern on a global scale.
It predominantly affects the world's least developed countries. The most endemic regions are …

Objective End-stage liver disease is a global public health problem with a high mortality rate.
Early identification of people at risk of poor prognosis is fundamental for decision-making in …

Early stage disease prediction is an important research area in health sector and it used to
helpful to give the required treatment on time. The different stages of liver failure …

In India, liver disease ranks as the tenth leading cause of death, causing 2.95 percent of all
deaths. According to the World Health Organization, liver disease is one of the main causes …

Prior Prediction of liver disease is certainly vital for a purposeful and effective treatment
because liver does a lot of things that keep us healthy. It converts nutrients into chemicals …

The liver's activities include blood filtration, converting nutrients and medications ingested
via the digestive system into necessary chemicals, and eliminating toxins and other …

The importance of research that contributes to the early diagnosis and management of lethal
diseases is critical to society, and hepatitis is one of these killer diseases. Hepatitis is a life …

Model for end‐stage liver disease (MELD) scoring was initiated using traditional statistical
technique by assuming a linear relationship between clinical features, but most phenomena …

Background We aimed to establish a prognostic predictive model based on machine
learning (ML) methods to predict the 28-day mortality of acute-on-chronic liver failure (ACLF) …

Background This study aimed to develop prognostic models for predicting 28-and 90-day
mortality rates of hepatitis B virus (HBV)-associated acute-on-chronic liver failure (HBV …