COMPARATIVE ANALYSIS OF LIVER DISEASES BY USING MACHINE LEARNING TECHNIQUES

Abstract

In the human body, the liver plays a crucial role in various physiological functions. Unfortunately, many individuals suffer from liver diseases without being aware of it. Early detection of liver diseases is paramount as it enables prompt and effective treatment, preventing the development of serious health complications. Failure to diagnose liver diseases at an early stage can lead to a multitude of health issues. To address these challenges, healthcare professionals must assess whether a patient is afflicted with liver disease by analyzing multiple parameters. This paper focuses on the classification of patients based on the presence or absence of liver disease using various machine learning algorithms. By comparing performance metrics and predicting optimal outcomes, we aim to assist physicians in accurately diagnosing liver diseases. The liver dataset utilized in this study is sourced from the Kaggle dataset, providing a comprehensive foundation for our analysis and evaluation.