Diagnosis of Liver Disease Using Machine Learning Techniques

1,2,3 Dept. of Computer Science and Engineering, MACE, Kerala, India 4 Assistant Professor, Dept. of Computer Science and Engineering, MACE, Kerala, India ---------------------------------------------------------------------***--------------------------------------------------------------------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.