Diagnosis of Chronic Liver Disease using Machine Learning Techniques

Abstract

Abstract: Liver disease is one of the deadly diseases. This issue has been increasing all over the world. Liver disease is a process that may cause the destruction and regeneration of the liver parenchyma. Many diseases and conditions and also use of some drugs may also cause liver diseases. So early detection and treatment can recover the disease in its early stage. Machine learning algorithms like Logistic Regression, KNN and Random Forest algorithms can be applied to detect the liver related diseases. Four stages of liver diseases such as healthy liver, fatty liver, liver fibrosis and liver cirrhosis are detected in this system. Liver disease prediction involve various steps such as pre-processing, feature extraction and classification. Datasets are collected from the Kaggle database of Indian liver patient records