Machine Learning for Liver Cirrhosis Disease Detection

Abstract

Patients with liver diseases have been steadily increasing over the last few years as a result of excessive alcohol consumption, inhaling hazardous chemicals, and consuming contaminated food, drinks, pickles, and drugs. This dataset of 417 patient blood reports is used to assess the accuracy of various machine learning algorithms in order to reduce the burden on doctors and diagnose early liver cirrhosis disease.