Abstract

Hepatitis is one of the dangerous diseases that result from viral infections. This virus attacks the liver leading to its inflammation. Inflammation may lead to the death of the liver cells and affect the functionality of the liver. Five main types of hepatitis have been identified, namely hepatitis A, B, C, D, and E viruses. The most common types of these are hepatitis A virus, hepatitis B virus (HBV), and hepatitis C virus (HCV). Among these, HBV and HCV will cause chronic hepatitis, liver cirrhosis, and hepatocellular carcinoma. It is estimated that 257 and 71 million people around the world are currently infected with HBV and HCV, respectively. The prevalence of HBV depends on the geographic area, and its overall prevalence was estimated at 3.6% in the world. The HCV global prevalence in adults is 2.5%. Furthermore, the incidence of HCV was estimated between 0.5% and 2.8% in various studies. According to previous studies, African and Asian countries have the highest prevalence of HBV and HCV. In Iran, the prevalence of HBV and HCV was about 2.2 and 0.5% in the general population, respectively. Prediction of chronic diseases plays an important role in health informatics. Hepatitis is one of the chronic diseases that can lead to liver cirrhosis and hepatocellular carcinoma, which cause deaths around the world. Therefore, early diagnosis is needed to control, treat, and reduce the effects of this disease.

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