Detection of HCV Based on Machine Learning

Abstract

The Project uses data analysis to early detect the presence of HCV type and the methodologies of treatment, The project will be helping the medical workers in Egypt to have a comprehensive study with realistic data to predicting the infected patients of HCV in Egypt depending on their medical history and their geographical data as well . Nowadays, Data analysis are widely using in the world for both scientific and trade wises to detect best results for future visions Moreover, Earlier Predicating for (Possible to be infected) cases according to the past pathological records. This Thesis , Might be helping the continuous efforts for the Egyptian government journey against HCV in Egypt which started with 100 Million Seha Campaign and still running in all governmental hospitals Viruses and Infection centers.