A Study on Cirrhosis Prediction Based on Machine Learning Techniques

Abstract

Cirrhosis is an advanced stage of many chronic liver diseases, primarily caused by viral hepatitis. Early detection is crucial to prevent further liver tissue scarring and to prolong patient survival. AI-based computer-assisted diagnostics, utilizing Machine Learning ML and Deep Learning DL methods, offer significant advantages over conventional approaches by reducing time, effort, and risks. This paper aims to review recent key studies on diagnosing various liver diseases, with a focus on cirrhosis, using ML and DL techniques. Additionally, it will cover publicly accessible liver disorder datasets and metrics for evaluating model performance, and discuss existing research restrictions and future works for the automatic detection of cirrhosis.