DIAGNOSIS OF LIVER DISEASES USING MACHINE LEARNING

Abstract

Diagnosis of liver disease at a preliminary stage is important for better treatment. It is a
very challenging task for medical researchers to predict the disease in the early stages owing to
subtle symptoms. Often the symptoms become apparent when it is too late. To overcome this issue,
this project aims to improve liver disease diagnosis using machine learning approaches. The main
objective of this research is to use classification algorithms to identify the liver patients from
healthy individuals. This project also aims to compare the classification algorithms based on their
performance factors. To serve the medicinal community for the diagnosis of liver disease among
patients, a graphical user interface will be developed using python. The GUI can be readily utilized
by doctors and medical practitioners as a screening tool for the liver disease.