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This paper deals with the performance of statistical neural network in the classification of alcoholic liver disease (ALD) data and nonalcoholic fatty liver disease data (NAFLD). The study involved 73 individuals that were clinically diagnosed of alcoholic liver disease (ALD) and 80 individuals who were clinically diagnosed of nonalcoholic fatty liver disease (NAFLD). Four different neural network structure, multi-layer perceptron, radial basis function, probabilistic neural network anddoi:10.26706/ijceae.1.1.20150102 fatcat:xbowk6vtineghe6dwbbgu4xng4