Prediction of Liver Disease Using Machine Learning Algorithms

Due to an increased usage of harmful chemicals like alcohol, tobacco, toxic gases, narcotics, and other toxic substances, lung disorders including liver cancer and other serious illnesses are becoming more common. The liver serves crucial functions in the body of a person, including the processing of food, vitamin preservation, and energy preservation. It is a dangerous illness that, if not treated in a timely manner, might cost many people their livelihoods, thus it is important to recognize the illness as soon as possible and to start treating it by studying it quickly. Even for medical professionals, discussing early disease prediction using some signs is rather challenging. This study work intends to discover liver disease prediction with good accuracy by utilising Python and supervised and semi-supervised machine learning approaches, as well as phases such as data loading and reading, pre-processing of the information, feature scaling, developing SVM & Random Forest Classifiers model, and measuring performance for both models.