Liver Disease Prediction using Ensemble Learning and Deep Learning Model

Humans are inventing innovative technologies in the medical field. These technologies are used for doctors as well as researchers to predict human health disorders early. Early disease monitoring can reduce death rate. Liver disease is a disorder that damages the liver due to various conditions such as alcohol drinking, obesity, genetic disorders and infections. Several liver diseases considered in proposed research such as Fatty liver disease, alcoholic disease, viral hepatitis, cirrhosis, inherited disorders and autoimmune liver disease. Deep learning is the best technique to predict liver diseases more accurately over machine learning algorithms. Convolution Neural Network(CNN) and XGboost from the artificial intelligence used in proposed work to detect liver diseases. CNN predicts liver diseases with more accuracy of 98% over existing works and XGboost. The Proposed research is useful for people to save their life from liver diseases because early monitoring and detection of liver disorders by CNN with highest prediction