Liver Cirrhosis Prediction using Machine Language

Liver Cirrhosis is a blood disease that spreads in our body and causes permanent scarring of liver tissues that leads to liver malfunction. This disease will have no symptoms in the early stage. So this will cause difficulty in diagnosing the disease and take early measures for treatment. As the condition changes high the treatment and diagnosis is complex. To avoid these situations we have developed this project to diagnose the disease on early stages. with help of Ml algorithms that helps the clinical fields. Our project has been run through many machine learning techniques that suits the prediction including logistic regression, multiple regression and regression trees as combination of these algorithms can provide better results. The accuracy of this model is high comparatively due to the combination of these algorithms. This allows the way for clinical examinations that helps the real world medical field.