… hepatitis B virus infection, whereas HCC in Western cohorts is often secondary to hepatitis
C … histopathologic and genetic features, treatment algorithms derived from populations with …

… various machine learning techniques to predict hepatitis C … regression techniques are
effective in diagnosing hepatitis C … However, our study has some limitations, including the use …

… English publications on hepatitis prediction using machine learning algorithms were included…
algorithms to predict hepatitis B. Ten studies used five algorithms for hepatitis C prediction. …

… revealed that predictions were less precise and accurate for certain patient cohorts. In …
performed worse for young patients beginning in the late stages of hepatitis C, which we attributed …

… Despite the diversity of DAAs, treatment of chronic hepatitis C genotype 4 … predict the
response of chronic HCV genotype 4 patients to various DAAs by applying Data Mining Techniques …

… using machine learning algorithms to predict prognosis of HCC … machine learning algorithms
were used for survival rate prediction according to mortality, survival time, and treatment …

… virtual filters and machine learning algorithms to identify new … of anti-hepatitis C drug
derivatives for COVID-19 treatment [18]. … -making for predicting liver disease using PSO-based …

… virological response to dual therapy could be predicted with … -1b-infected patients using the
generated discriminant model, … Those patients identified as responders could be treated with …

… The risk of advanced liver fibrosis, due to chronic hepatitis C, could be predicted with high
accuracy using decision tree learning algorithm that could be used to reduce the need to …