Identification and Prediction of Hepatitis B and NAFLD using Machine Learning

Hepatitis B and Non-Alcoholic Fatty Liver Disease (NAFLD) are the most frequent and well-known liver disorders worldwide. Over time, these disorders cause liver cirrhosis, which finally leads to failure and major consequences, which can be fatal. More than a third of the world’s population has Hepatitis B and NAFLD. Blood tests are utilized to identify hepatitis B, and while the liver biopsy is the gold standard in diagnosing NAFLD, ultrasound scan pictures are employed in this work. The proposed method efficiently identifies or predicts Hepatitis B and NAFLD using the findings of this study, namely the application of machine learning and deep learning neural networks. Keyword: Fatty liver, Hepatitis B, Machine Learning, NAFLD.