Description

Data Mining is one of the most critical aspects of automated disease diagnosis and disease prediction. It involves data mining algorithms and techniques to analyse medical data. In recent years, liver disorders have excessively increased and liver diseases are becoming one of the most fatal diseases in several countries. Chronic Liver disease is also considered to be one of the deadly diseases, so early detection and treatment can recover the disease easily. Due to rapid advancement in Artificial intelligence (AI), like various machine learning algorithms. The liver is one of the most significant organs in the human body. We can predict liver disease in a patient at an early stage based on previously predicted values using data from patients with abnormal liver function. Chronic Liver disease is also considered to be one of the deadly diseases, so early detection and treatment can recover the disease easily. Due to rapid advancement in Artificial intelligence (AI), like various machine learning algorithms. The system is developed the different machine learning algorithm for predicting the liver disease by using Random Forest and Multi-Layer Perceptron effectively. The experimental results shows that the accuracy, precision, recall and f1 score and compare the results in the form of graphs.