Implementation of Neural Network for the Liver Disease Classification

Abstract

The liver is a valuable internal organ, however having different entities pass through this organ makes it vulnerable to various pathologies. This paper presents using an intelligent system technique to diagnose a patient for possible liver condition. Using an artificial neural network (ANN), the liver patient dataset from the University of California, Irvine (UCI) repository was inputted to be used as training data to make an effective predictive model. The developed model was tested for accuracy by using a confusion matrix. The proposed network model was able to attain an accuracy of around 70%.