Patients with Liver disease have been continuously increasing because of excessive
consumption of alcohol, inhale of harmful gases, intake of contaminated food, pickles and …

Classification techniques have been widely used in the medical field for accurate
classification than an individual classifier. This paper presents computational intelligence …

In recent years in healthcare sectors, data mining became an ease of use for disease
prediction. Data mining is the process of dredge up information from the massive datasets or …

Various types of stress and irregular eating habits, as well as inhalation of alcohol and
ongoing toxic gas, ingestion of contaminated food, excessive consumption of pickled food …

This paper conducts a correlation review of classification algorithm using some free
available data mining and knowledge discovery tools such as WEKA, Rapid miner, Tanagra …

Accuracy in data classification depends on the dataset used for learning. Now-a-days the
most important cause of death for both men and women is due to the Liver Problem. The …

The human liver is one of the major organs in the body and liver disease can cause many
problems in human life. Fast and accurate prediction of liver disease allows early and …

Liver diagnosis at an early stage is essential for enhanced handling. Precise classification is
required for automatic recognition of disease from data samples (utilizing data mining for …

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 …

In this study, a hepatitis disease diagnosis study was realized using neural network
structure. For this purpose, a multilayer neural network structure was used. Levenberg …