Prediction of Hepatitis Disease Using Effective Deep Neural Network

Hepatitis is the condition of liver swelling. Viral infection is the common reason behind it or when harmful substances expose the liver. In this research paper, Deep Neural Network has been successfully applied to predict the disease through a dataset. Predicting hepatitis is a complex job because of its alternating manifestation. The objective of this work is to precisely and accurately predict the disease by developing a Deep Neural Network model. A comparison study has been done with activation functions to secure the best performance. A standard dataset on hepatitis diseases which is collected over 154 patients in India has been adopted for the research. The achieved accuracy from this DNN model for predicting hepatitis is 92.3% which is preferable than previous research or study on various method.