Liver Disease Prediction using Logistic Regression

Abstract

The liver is a crucial organelle in human body. It is an additional stomach-related organ that aids in fat breakdown. There are no options for compensating for the lack of liver capacity; nevertheless, liver dialysis procedures can be used for temporary therapy.Screening of liver illness at an initial point is critical for more effective therapy. Due to the obvious sensitive indications, it's a difficult assignment for doctors and scientists to anticipate the sickness in its early stages. Generally, the effects only become apparent when it is too late. This initiative attempts to improve disease victimization using machine learning methods in order to combat this problem. Because of the modest signs of liver illness, it can be difficult to diagnose, and the symptoms typically appear after it is too late [2]. The purpose of this study aims to employ categorization approaches in distinguishing between liver diseases and healthy persons.As a result, using machine learning techniques, it is attempted to determine the presence of liver disease in individuals.. In this research, we employed the Logistic Regression Machine Learning approach to predict liver illness in patients.