Neural network parameters optimization with genetic algorithm to improve liver disease estimation

Abstract

Liver disease is an important public health problem. Over the past view decades machine learning has develop rapidly, and it has been introduced for application in medical-related fields. In this study we use neural network method to solve regression task of liver disorder dataset. Genetic algorithm applied for optimize NN parameters to improve the estimation performance value. NN-GA performance results show the most superior value compared to another methods.