Fuzzy logic based medical diagnostic system for hepatitis B using machine learning

Hepatitis B is a virus that attacks the liver and causes liver disease. This virus is a possibly deadly infection of liver. The Hepatitis infection mainly disturbs all the operations done by the liver. Moreover, this infection now becomes the world’s most severe kind of virus among all Hepatitis as out of 12 individuals; one is resulted as positive for Hepatitis B disease globally. Hepatitis B is a short-term disease for few individuals. But, sometimes, for few patients, it will become a chronic as well as long-term disease. This severe infection will lead to various deadly diseases that can infect the liver of an individual completely. The most life-threatening disease caused by it is a chronic liver disease which further leads to cancer as well as cirrhosis, and as a result, the life of a patient will put at significant risk. Therefore, it is very crucial and become a necessity to detect or identify this Hepatitis B virus at the very first stage or at an introductory stage. By doing so, the life of an individual can be saved for good. The biomarkers are also used to identify this deadly infection of the liver. If this infection is not cured until six months, then it will become chronic. However, the treatment and diagnosis of this life-threatening disease is very expensive and can cause serious side effects. Hence, it is vital to develop a diagnostic system that reduces the cost of treatment and diagnosis.