Fatty Liver Disease Prediction Using Supervised Learning

Abstract

Fatty liver disease is one of the most common types of liver disease in the modern period. It is one of the most important human diseases and has a very serious impact on human life. Hepatic disease is also known as liver disease. It damages the liver. Some symptoms of liver disease may include jaundice and weight loss, and there are some different forms of liver disease. There are two different kind of liver diseases. They are alcoholic fatty liver disease it develops who consume lot of alcohol, it damages our liver. It leads to cirrhosis. Non alcohol fatty liver is common causes of liver disease in the world. They accumulate fat within liver. So, early prediction of liver disease can save human life. Data mining became an easy for liver disease prediction. The research may be done to predict the liver disease has very challenging task, it calculated from of medical data bases. To overcome this research data mining techniques are used such as classification, regression problems. The patient risk level is classified used data mining techniques. It predicts the liver disease accurately and efficiently.KeywordsLiver diseaseData miningPredictionClassification regression algorithms