DETECTION OF HCV LIVER FIBROSIS APPLYING MACHINE LEARNING TECHNIQUE

Abstract

The health department can be update using the latest technique that will increase the life expectation of the population. Cancer and HCV liver fibrosis are the most dangerous disease in the world due to these diseases death rate is increasing in the world. There are many tools and methodologies exist that predict the spread of HCV liver fibrosis and many performance algorithms applied on the given dataset but what’s the big research gap is still no one used the attributes to find the main reason of HCV liver fibrosis. To overcome this research gap there is a need of best prediction of model by using different HCV liver fibrosis features to predict and overcome HCV liver fibrosis. We will analyze the dataset and will give the best HCV liver fibrosis disease prediction model. So, there is need to develop system which can handle all issues as well as produce quality result as compare to previous systems.