Supervised Machine Learning Models for Liver Disease Risk Prediction

The liver constitutes the largest gland in human body and performs many different functions. It processes what a person eats drinks converts food into nutrients that need to be absorbed by body. In addition, it filters out harmful substances from blood helps tackle infections. Exposure viruses or dangerous chemicals can damage liver. When this organ is damaged, disease develop. Liver refers any condition causes may affect its function. serious threatens life requires urgent medical attention. Early prediction of using machine learning (ML) techniques will point interest study. Specifically, content research work, various ML models Ensemble methods were evaluated compared terms Accuracy, Precision, Recall, F-measure area under curve (AUC) order predict occurrence. experimental results showed Voting classifier outperforms other with an accuracy, recall, 80.1%, precision 80.4%, AUC equal 88.4% after SMOTE 10-fold cross-validation.