Fuzzy logic for Child-Pugh classification of patients with cirrhosis of liver

Survival analysis is a common procedure in the medical field. Predicting life expectancy is a highly significant factor in the decision making of both patients and doctors. In addition to the correct diagnosis of the ailment, accurate classification and assessment is necessary to commence appropriate and effective treatment. The Child-Pugh classification has been used for many years for the assessment of severity and prognosis of chronic liver disease and cirrhosis of liver. It is considered as a standard for classifying the patients with end-stage liver disease. Fuzzy logic is a clever technique that can be used to model imprecise and complex systems efficiently. Intelligent procedure based on Fuzzy logic could be used for the Child-Pugh classification of the patients suffering from liver cirrhosis. For different classes of cirrhosis patients the life expectancy also differs. This paper presents a fuzzy intelligent technique to classify and predict the life expectancy of patients with cirrhosis of liver.