Machine Learning-Based Approach for Early Prediction of Liver Disease

Artificial intelligence and machine learning are increasingly used to support the diagnosis of liver diseases. They help in diagnosing liver diseases more comfortably, offering alternatives to painful treatments like liver biopsy. This research paper reviews 15 recent studies that discuss how AI and ML improve the diagnosis and accuracy of liver diseases. These studies also highlight improvements in feature selection and data handling. The data on liver diseases is imbalanced, with some conditions having much less data than others, making comparison between studies difficult due to varying methods. Additionally, dynamic datasets that change over time are rarely used, limiting deeper analysis of disease progression. This study highlights how AI and ML can improve liver disease diagnosis by addressing data imbalance, enhancing accuracy, and reducing reliance on invasive procedures.