Feature Selection and Machine Learning-Based Liver Cancer Prediction System

Abstract

Liver cancer is a major life-threatening condition in the world, and early diagnosis is a key factor in increasing patients' survival rates and treatment efficiency. Conventional diagnosis methods involve extensive medical analysis and due to the complexity of clinical data may result in late diagnosis. This research aims to address these issues by developing a “Feature Selection and Machine Learning-Based Liver Cancer Prediction System” that leverages advanced machine learning techniques to enhance prediction accuracy and aid in clinical decision-making.