Early detection of liver disease is never easy, though it is one of the most important diseases
on earth. This study, thus, attempts to achieve efficient early detection through a Multilayer …

The process of identifying patterns in huge datasets comprising methods such as machine
learning, statistics, and database system can beconsidered data mining. It is a …

: Introduction: The liver is the most important organ of the body has a central role in
metabolism. Liver disease cannot be easily discovered in the early stages, because even …

Liver is the major organ inside the human body which is very supportive for digesting food,
eliminating poisons, and stocking energy. The rate of Liver disorder patients is rapidly rising …

Data Mining is one of the most critical aspects of automated disease diagnosis and disease
prediction. It involves data mining algorithms and techniques to analyze medical data. In …

This study compares Support Vector Machine (SVM), Logistic Regression, and Decision
Tree algorithms for liver disease prediction using a dataset sourced from Kaggle, comprising …

Liver Disease (LD) is the main cause of death worldwide, affecting a large number of
people. A variety of factors affect the liver, resulting in this disease. The diagnosis of this …

Machine Learning has a strong potential in automated diagnosis of various diseases. With
the recent upscale in various liver diseases, it is necessary to identify the liver disease at a …

Machine learning has been highly recommended in medical sector for diagnosis of several
diseases and for effective decision making due to its performance. With recent years, there is …

Data Mining technologies have been widely used in the process of medical diagnosis and
prognosis, extensively. These data mining techniques have been used to analyze a colossal …